{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Custom statespace models\n", "\n", "The true power of the state space model is to allow the creation and estimation of custom models. This notebook shows various statespace models that subclass `sm.tsa.statespace.MLEModel`.\n", "\n", "Remember the general state space model can be written in the following general way:\n", "\n", "$$\n", "\\begin{aligned}\n", "y_t & = Z_t \\alpha_{t} + d_t + \\varepsilon_t \\\\\n", "\\alpha_{t+1} & = T_t \\alpha_{t} + c_t + R_t \\eta_{t}\n", "\\end{aligned}\n", "$$\n", "\n", "You can check the details and the dimensions of the objects [in this link](https://www.statsmodels.org/stable/statespace.html#custom-state-space-models)\n", "\n", "Most models won't include all of these elements. For example, the design matrix $Z_t$ might not depend on time ($\\forall t \\;Z_t = Z$), or the model won't have an observation intercept $d_t$.\n", "\n", "We'll start with something relatively simple and then show how to extend it bit by bit to include more elements.\n", "\n", "+ Model 1: time-varying coefficients. One observation equation with two state equations\n", "+ Model 2: time-varying parameters with non identity transition matrix\n", "+ Model 3: multiple observation and multiple state equations\n", "+ Bonus: PyMC for Bayesian estimation" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:48.822385Z", "iopub.status.busy": "2026-07-25T23:29:48.822185Z", "iopub.status.idle": "2026-07-25T23:29:52.378942Z", "shell.execute_reply": "2026-07-25T23:29:52.378030Z" } }, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "from collections import OrderedDict\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import statsmodels.api as sm\n", "\n", "plt.rc(\"figure\", figsize=(16, 8))\n", "plt.rc(\"font\", size=15)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model 1: time-varying coefficients\n", "\n", "$$\n", "\\begin{aligned}\n", "y_t & = d + x_t \\beta_{x,t} + w_t \\beta_{w,t} + \\varepsilon_t \\hspace{4em} \\varepsilon_t \\sim N(0, \\sigma_\\varepsilon^2)\\\\\n", "\\begin{bmatrix} \\beta_{x,t} \\\\ \\beta_{w,t} \\end{bmatrix} & = \\begin{bmatrix} \\beta_{x,t-1} \\\\ \\beta_{w,t-1} \\end{bmatrix} + \\begin{bmatrix} \\zeta_{x,t} \\\\ \\zeta_{w,t} \\end{bmatrix} \\hspace{3.7em} \\begin{bmatrix} \\zeta_{x,t} \\\\ \\zeta_{w,t} \\end{bmatrix} \\sim N \\left ( \\begin{bmatrix} 0 \\\\ 0 \\end{bmatrix}, \\begin{bmatrix} \\sigma_{\\beta, x}^2 & 0 \\\\ 0 & \\sigma_{\\beta, w}^2 \\end{bmatrix} \\right )\n", "\\end{aligned}\n", "$$\n", "\n", "The observed data is $y_t, x_t, w_t$. With $x_t, w_t$ being the exogenous variables. Notice that the design matrix is time-varying, so it will have three dimensions (`k_endog x k_states x nobs`)\n", "\n", "The states are $\\beta_{x,t}$ and $\\beta_{w,t}$. The state equation tells us these states evolve with a random walk. Thus, in this case the transition matrix is a 2 by 2 identity matrix.\n", "\n", "We'll first simulate the data, the construct a model and finally estimate it." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:52.382191Z", "iopub.status.busy": "2026-07-25T23:29:52.381580Z", "iopub.status.idle": "2026-07-25T23:29:52.909145Z", "shell.execute_reply": "2026-07-25T23:29:52.908202Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def gen_data_for_model1():\n", " nobs = 1000\n", "\n", " rs = np.random.RandomState(seed=93572)\n", "\n", " d = 5\n", " var_y = 5\n", " var_coeff_x = 0.01\n", " var_coeff_w = 0.5\n", "\n", " x_t = rs.uniform(size=nobs)\n", " w_t = rs.uniform(size=nobs)\n", " eps = rs.normal(scale=var_y**0.5, size=nobs)\n", "\n", " beta_x = np.cumsum(rs.normal(size=nobs, scale=var_coeff_x**0.5))\n", " beta_w = np.cumsum(rs.normal(size=nobs, scale=var_coeff_w**0.5))\n", "\n", " y_t = d + beta_x * x_t + beta_w * w_t + eps\n", " return y_t, x_t, w_t, beta_x, beta_w\n", "\n", "\n", "y_t, x_t, w_t, beta_x, beta_w = gen_data_for_model1()\n", "_ = plt.plot(y_t)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:52.917468Z", "iopub.status.busy": "2026-07-25T23:29:52.917226Z", "iopub.status.idle": "2026-07-25T23:29:52.937744Z", "shell.execute_reply": "2026-07-25T23:29:52.936910Z" } }, "outputs": [], "source": [ "class TVRegression(sm.tsa.statespace.MLEModel):\n", " def __init__(self, y_t, x_t, w_t):\n", " exog = np.c_[x_t, w_t] # shaped nobs x 2\n", "\n", " super().__init__(endog=y_t, exog=exog, k_states=2, initialization=\"diffuse\")\n", "\n", " # Since the design matrix is time-varying, it must be\n", " # shaped k_endog x k_states x nobs\n", " # Notice that exog.T is shaped k_states x nobs, so we\n", " # just need to add a new first axis with shape 1\n", " self.ssm[\"design\"] = exog.T[np.newaxis, :, :] # shaped 1 x 2 x nobs\n", " self.ssm[\"selection\"] = np.eye(self.k_states)\n", " self.ssm[\"transition\"] = np.eye(self.k_states)\n", "\n", " # Which parameters need to be positive?\n", " self.positive_parameters = slice(1, 4)\n", "\n", " @property\n", " def param_names(self):\n", " return [\"intercept\", \"var.e\", \"var.x.coeff\", \"var.w.coeff\"]\n", "\n", " @property\n", " def start_params(self):\n", " \"\"\"\n", " Defines the starting values for the parameters\n", " The linear regression gives us reasonable starting values for the constant\n", " d and the variance of the epsilon error\n", " \"\"\"\n", " exog = sm.add_constant(self.exog)\n", " res = sm.OLS(self.endog, exog).fit()\n", " params = np.r_[res.params[0], res.scale, 0.001, 0.001]\n", " return params\n", "\n", " def transform_params(self, unconstrained):\n", " \"\"\"\n", " We constraint the last three parameters\n", " ('var.e', 'var.x.coeff', 'var.w.coeff') to be positive,\n", " because they are variances\n", " \"\"\"\n", " constrained = unconstrained.copy()\n", " constrained[self.positive_parameters] = (\n", " constrained[self.positive_parameters] ** 2\n", " )\n", " return constrained\n", "\n", " def untransform_params(self, constrained):\n", " \"\"\"\n", " Need to unstransform all the parameters you transformed\n", " in the `transform_params` function\n", " \"\"\"\n", " unconstrained = constrained.copy()\n", " unconstrained[self.positive_parameters] = (\n", " unconstrained[self.positive_parameters] ** 0.5\n", " )\n", " return unconstrained\n", "\n", " def update(self, params, **kwargs):\n", " params = super().update(params, **kwargs)\n", "\n", " self[\"obs_intercept\", 0, 0] = params[0]\n", " self[\"obs_cov\", 0, 0] = params[1]\n", " self[\"state_cov\"] = np.diag(params[2:4])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### And then estimate it with our custom model class" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:52.940640Z", "iopub.status.busy": "2026-07-25T23:29:52.940214Z", "iopub.status.idle": "2026-07-25T23:29:53.838124Z", "shell.execute_reply": "2026-07-25T23:29:53.834748Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Statespace Model Results \n", "==============================================================================\n", "Dep. Variable: y No. Observations: 1000\n", "Model: TVRegression Log Likelihood -2336.846\n", "Date: Sat, 25 Jul 2026 AIC 4685.692\n", "Time: 23:29:53 BIC 4715.139\n", "Sample: 0 HQIC 4696.884\n", " - 1000 \n", "Covariance Type: opg \n", "===============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------\n", "intercept 5.0548 0.202 25.050 0.000 4.659 5.450\n", "var.e 5.1240 0.249 20.571 0.000 4.636 5.612\n", "var.x.coeff 0.0468 0.022 2.097 0.036 0.003 0.091\n", "var.w.coeff 0.4092 0.096 4.243 0.000 0.220 0.598\n", "===================================================================================\n", "Ljung-Box (L1) (Q): 0.08 Jarque-Bera (JB): 0.98\n", "Prob(Q): 0.78 Prob(JB): 0.61\n", "Heteroskedasticity (H): 1.05 Skew: 0.07\n", "Prob(H) (two-sided): 0.63 Kurtosis: 2.93\n", "===================================================================================\n", "\n", "Warnings:\n", "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n" ] } ], "source": [ "mod = TVRegression(y_t, x_t, w_t)\n", "res = mod.fit()\n", "\n", "print(res.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The values that generated the data were:\n", "\n", "+ intercept = 5\n", "+ var.e = 5\n", "+ var.x.coeff = 0.01\n", "+ var.w.coeff = 0.5\n", "\n", "\n", "As you can see, the estimation recovered the real parameters pretty well.\n", "\n", "We can also recover the estimated evolution of the underlying coefficients (or states in Kalman filter talk)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:53.841835Z", "iopub.status.busy": "2026-07-25T23:29:53.841531Z", "iopub.status.idle": "2026-07-25T23:29:54.516371Z", "shell.execute_reply": "2026-07-25T23:29:54.514626Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(2, figsize=(16, 8))\n", "\n", "ss = pd.DataFrame(res.smoothed_state.T, columns=[\"x\", \"w\"])\n", "\n", "axes[0].plot(beta_x, label=\"True\")\n", "axes[0].plot(ss[\"x\"], label=\"Smoothed estimate\")\n", "axes[0].set(title=\"Time-varying coefficient on x_t\")\n", "axes[0].legend()\n", "\n", "axes[1].plot(beta_w, label=\"True\")\n", "axes[1].plot(ss[\"w\"], label=\"Smoothed estimate\")\n", "axes[1].set(title=\"Time-varying coefficient on w_t\")\n", "axes[1].legend()\n", "\n", "fig.tight_layout();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model 2: time-varying parameters with non identity transition matrix\n", "\n", "This is a small extension from Model 1. Instead of having an identity transition matrix, we'll have one with two parameters ($\\rho_1, \\rho_2$) that we need to estimate. \n", "\n", "\n", "$$\n", "\\begin{aligned}\n", "y_t & = d + x_t \\beta_{x,t} + w_t \\beta_{w,t} + \\varepsilon_t \\hspace{4em} \\varepsilon_t \\sim N(0, \\sigma_\\varepsilon^2)\\\\\n", "\\begin{bmatrix} \\beta_{x,t} \\\\ \\beta_{w,t} \\end{bmatrix} & = \\begin{bmatrix} \\rho_1 & 0 \\\\ 0 & \\rho_2 \\end{bmatrix} \\begin{bmatrix} \\beta_{x,t-1} \\\\ \\beta_{w,t-1} \\end{bmatrix} + \\begin{bmatrix} \\zeta_{x,t} \\\\ \\zeta_{w,t} \\end{bmatrix} \\hspace{3.7em} \\begin{bmatrix} \\zeta_{x,t} \\\\ \\zeta_{w,t} \\end{bmatrix} \\sim N \\left ( \\begin{bmatrix} 0 \\\\ 0 \\end{bmatrix}, \\begin{bmatrix} \\sigma_{\\beta, x}^2 & 0 \\\\ 0 & \\sigma_{\\beta, w}^2 \\end{bmatrix} \\right )\n", "\\end{aligned}\n", "$$\n", "\n", "\n", "What should we modify in our previous class to make things work?\n", "+ Good news: not a lot!\n", "+ Bad news: we need to be careful about a few things" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1) Change the starting parameters function\n", "\n", "We need to add names for the new parameters $\\rho_1, \\rho_2$ and we need to start corresponding starting values.\n", "\n", "The `param_names` function goes from:\n", "\n", "```python\n", "def param_names(self):\n", " return ['intercept', 'var.e', 'var.x.coeff', 'var.w.coeff']\n", "```\n", "\n", "\n", "to \n", "\n", "```python\n", "def param_names(self):\n", " return ['intercept', 'var.e', 'var.x.coeff', 'var.w.coeff',\n", " 'rho1', 'rho2']\n", "```\n", "\n", "and we change the `start_params` function from \n", "\n", "```python\n", "def start_params(self):\n", " exog = sm.add_constant(self.exog)\n", " res = sm.OLS(self.endog, exog).fit()\n", " params = np.r_[res.params[0], res.scale, 0.001, 0.001]\n", " return params\n", "```\n", "\n", "to\n", "\n", "```python\n", "def start_params(self):\n", " exog = sm.add_constant(self.exog)\n", " res = sm.OLS(self.endog, exog).fit()\n", " params = np.r_[res.params[0], res.scale, 0.001, 0.001, 0.8, 0.8]\n", " return params\n", "```\n", "\n", "2) Change the `update` function\n", "\n", "It goes from\n", "\n", "```python\n", "def update(self, params, **kwargs):\n", " params = super(TVRegression, self).update(params, **kwargs)\n", "\n", " self['obs_intercept', 0, 0] = params[0]\n", " self['obs_cov', 0, 0] = params[1]\n", " self['state_cov'] = np.diag(params[2:4])\n", "```\n", "\n", "\n", "to \n", "\n", "```python\n", "def update(self, params, **kwargs):\n", " params = super(TVRegression, self).update(params, **kwargs)\n", "\n", " self['obs_intercept', 0, 0] = params[0]\n", " self['obs_cov', 0, 0] = params[1]\n", " self['state_cov'] = np.diag(params[2:4])\n", " self['transition', 0, 0] = params[4]\n", " self['transition', 1, 1] = params[5]\n", "```\n", "\n", "\n", "3) (optional) change `transform_params` and `untransform_params`\n", "\n", "This is not required, but you might wanna restrict $\\rho_1, \\rho_2$ to lie between -1 and 1.\n", "In that case, we first import two utility functions from `statsmodels`.\n", "\n", "\n", "```python\n", "from statsmodels.tsa.statespace.tools import (\n", " constrain_stationary_univariate, unconstrain_stationary_univariate)\n", "```\n", "\n", "`constrain_stationary_univariate` constraint the value to be within -1 and 1. \n", "`unconstrain_stationary_univariate` provides the inverse function.\n", "The transform and untransform parameters function would look like this\n", "(remember that $\\rho_1, \\rho_2$ are in the 4 and 5th index):\n", "\n", "```python\n", "def transform_params(self, unconstrained):\n", " constrained = unconstrained.copy()\n", " constrained[self.positive_parameters] = constrained[self.positive_parameters]**2\n", " constrained[4] = constrain_stationary_univariate(constrained[4:5])\n", " constrained[5] = constrain_stationary_univariate(constrained[5:6])\n", " return constrained\n", "\n", "def untransform_params(self, constrained):\n", " unconstrained = constrained.copy()\n", " unconstrained[self.positive_parameters] = unconstrained[self.positive_parameters]**0.5\n", " unconstrained[4] = unconstrain_stationary_univariate(constrained[4:5])\n", " unconstrained[5] = unconstrain_stationary_univariate(constrained[5:6])\n", " return unconstrained\n", "```\n", "\n", "I'll write the full class below (without the optional changes I have just discussed)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:54.521897Z", "iopub.status.busy": "2026-07-25T23:29:54.518648Z", "iopub.status.idle": "2026-07-25T23:29:54.547417Z", "shell.execute_reply": "2026-07-25T23:29:54.543638Z" } }, "outputs": [], "source": [ "class TVRegressionExtended(sm.tsa.statespace.MLEModel):\n", " def __init__(self, y_t, x_t, w_t):\n", " exog = np.c_[x_t, w_t] # shaped nobs x 2\n", "\n", " super(TVRegressionExtended, self).__init__(\n", " endog=y_t, exog=exog, k_states=2, initialization=\"diffuse\"\n", " )\n", "\n", " # Since the design matrix is time-varying, it must be\n", " # shaped k_endog x k_states x nobs\n", " # Notice that exog.T is shaped k_states x nobs, so we\n", " # just need to add a new first axis with shape 1\n", " self.ssm[\"design\"] = exog.T[np.newaxis, :, :] # shaped 1 x 2 x nobs\n", " self.ssm[\"selection\"] = np.eye(self.k_states)\n", " self.ssm[\"transition\"] = np.eye(self.k_states)\n", "\n", " # Which parameters need to be positive?\n", " self.positive_parameters = slice(1, 4)\n", "\n", " @property\n", " def param_names(self):\n", " return [\"intercept\", \"var.e\", \"var.x.coeff\", \"var.w.coeff\", \"rho1\", \"rho2\"]\n", "\n", " @property\n", " def start_params(self):\n", " \"\"\"\n", " Defines the starting values for the parameters\n", " The linear regression gives us reasonable starting values for the constant\n", " d and the variance of the epsilon error\n", " \"\"\"\n", "\n", " exog = sm.add_constant(self.exog)\n", " res = sm.OLS(self.endog, exog).fit()\n", " params = np.r_[res.params[0], res.scale, 0.001, 0.001, 0.7, 0.8]\n", " return params\n", "\n", " def transform_params(self, unconstrained):\n", " \"\"\"\n", " We constraint the last three parameters\n", " ('var.e', 'var.x.coeff', 'var.w.coeff') to be positive,\n", " because they are variances\n", " \"\"\"\n", " constrained = unconstrained.copy()\n", " constrained[self.positive_parameters] = (\n", " constrained[self.positive_parameters] ** 2\n", " )\n", " return constrained\n", "\n", " def untransform_params(self, constrained):\n", " \"\"\"\n", " Need to unstransform all the parameters you transformed\n", " in the `transform_params` function\n", " \"\"\"\n", " unconstrained = constrained.copy()\n", " unconstrained[self.positive_parameters] = (\n", " unconstrained[self.positive_parameters] ** 0.5\n", " )\n", " return unconstrained\n", "\n", " def update(self, params, **kwargs):\n", " params = super(TVRegressionExtended, self).update(params, **kwargs)\n", "\n", " self[\"obs_intercept\", 0, 0] = params[0]\n", " self[\"obs_cov\", 0, 0] = params[1]\n", " self[\"state_cov\"] = np.diag(params[2:4])\n", " self[\"transition\", 0, 0] = params[4]\n", " self[\"transition\", 1, 1] = params[5]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To estimate, we'll use the same data as in model 1 and expect the $\\rho_1, \\rho_2$ to be near 1.\n", "\n", "The results look pretty good!\n", "Note that this estimation can be quite sensitive to the starting value of $\\rho_1, \\rho_2$. If you try lower values, you'll see it fails to converge." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:29:54.550252Z", "iopub.status.busy": "2026-07-25T23:29:54.549615Z", "iopub.status.idle": "2026-07-25T23:30:00.616620Z", "shell.execute_reply": "2026-07-25T23:30:00.615652Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Statespace Model Results \n", "================================================================================\n", "Dep. Variable: y No. Observations: 1000\n", "Model: TVRegressionExtended Log Likelihood -2334.778\n", "Date: Sat, 25 Jul 2026 AIC 4685.557\n", "Time: 23:30:00 BIC 4724.819\n", "Sample: 0 HQIC 4700.479\n", " - 1000 \n", "Covariance Type: opg \n", "===============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------\n", "intercept 5.0316 0.201 25.077 0.000 4.638 5.425\n", "var.e 5.1000 0.249 20.460 0.000 4.611 5.589\n", "var.x.coeff 0.0599 0.033 1.806 0.071 -0.005 0.125\n", "var.w.coeff 0.4237 0.104 4.068 0.000 0.220 0.628\n", "rho1 0.9946 0.004 237.820 0.000 0.986 1.003\n", "rho2 0.9964 0.003 336.981 0.000 0.991 1.002\n", "===================================================================================\n", "Ljung-Box (L1) (Q): 0.15 Jarque-Bera (JB): 0.76\n", "Prob(Q): 0.70 Prob(JB): 0.68\n", "Heteroskedasticity (H): 1.05 Skew: 0.06\n", "Prob(H) (two-sided): 0.64 Kurtosis: 2.95\n", "===================================================================================\n", "\n", "Warnings:\n", "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n" ] } ], "source": [ "mod = TVRegressionExtended(y_t, x_t, w_t)\n", "res = mod.fit(maxiter=2000) # it doesn't converge with 50 iters\n", "print(res.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model 3: multiple observation and state equations\n", "\n", "We'll keep the time-varying parameters, but this time we'll also have two observation equations.\n", "\n", "### Observation equations\n", "\n", "$\\hat{i_t}, \\hat{M_t}, \\hat{s_t}$ are observed each period.\n", "\n", "The model for the observation equation has two equations:\n", "\n", "$$ \\hat{i_t} = \\alpha_1 * \\hat{s_t} + \\varepsilon_1 $$\n", "\n", "$$ \\hat{M_t} = \\alpha_2 + \\varepsilon_2 $$\n", "\n", "Following the [general notation from state space models](https://www.statsmodels.org/stable/statespace.html), the endogenous part of the observation equation is $y_t = (\\hat{i_t}, \\hat{M_t})$ and we only have one exogenous variable $\\hat{s_t}$\n", "\n", "\n", "### State equations\n", "\n", "\n", "$$ \\alpha_{1, t+1} = \\delta_1 \\alpha_{1, t} + \\delta_2 \\alpha_{2, t} + W_1 $$\n", "\n", "$$ \\alpha_{2, t+1} = \\delta_3 \\alpha_{2, t} + W_2 $$\n", "\n", "\n", "### Matrix notation for the state space model\n", "\n", "$$\n", "\\begin{aligned}\n", "\\begin{bmatrix} \\hat{i_t} \\\\ \\hat{M_t} \\end{bmatrix} &= \n", "\\begin{bmatrix} \\hat{s_t} & 0 \\\\ 0 & 1 \\end{bmatrix} \\begin{bmatrix} \\alpha_{1, t} \\\\ \\alpha_{2, t} \\end{bmatrix} + \\begin{bmatrix} \\varepsilon_{1, t} \\\\ \\varepsilon_{1, t} \\end{bmatrix} \\hspace{6.5em} \\varepsilon_t \\sim N \\left ( \\begin{bmatrix} 0 \\\\ 0 \\end{bmatrix}, \\begin{bmatrix} \\sigma_{\\varepsilon_1}^2 & 0 \\\\ 0 & \\sigma_{\\varepsilon_2}^2 \\end{bmatrix} \\right )\n", "\\\\\n", "\\begin{bmatrix} \\alpha_{1, t+1} \\\\ \\alpha_{2, t+1} \\end{bmatrix} & = \\begin{bmatrix} \\delta_1 & \\delta_1 \\\\ 0 & \\delta_3 \\end{bmatrix} \\begin{bmatrix} \\alpha_{1, t} \\\\ \\alpha_{2, t} \\end{bmatrix} + \\begin{bmatrix} W_1 \\\\ W_2 \\end{bmatrix} \\hspace{3.em} \\begin{bmatrix} W_1 \\\\ W_2 \\end{bmatrix} \\sim N \\left ( \\begin{bmatrix} 0 \\\\ 0 \\end{bmatrix}, \\begin{bmatrix} \\sigma_{W_1}^2 & 0 \\\\ 0 & \\sigma_{W_2}^2 \\end{bmatrix} \\right )\n", "\\end{aligned}\n", "$$\n", "\n", "I'll simulate some data, talk about what we need to modify and finally estimate the model to see if we're recovering something reasonable.\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:00.620473Z", "iopub.status.busy": "2026-07-25T23:30:00.620175Z", "iopub.status.idle": "2026-07-25T23:30:00.647502Z", "shell.execute_reply": "2026-07-25T23:30:00.645880Z" } }, "outputs": [], "source": [ "true_values = {\n", " \"var_e1\": 0.01,\n", " \"var_e2\": 0.01,\n", " \"var_w1\": 0.01,\n", " \"var_w2\": 0.01,\n", " \"delta1\": 0.8,\n", " \"delta2\": 0.5,\n", " \"delta3\": 0.7,\n", "}\n", "\n", "\n", "def gen_data_for_model3():\n", " # Starting values\n", " alpha1_0 = 2.1\n", " alpha2_0 = 1.1\n", "\n", " t_max = 500\n", "\n", " def gen_i(alpha1, s):\n", " return alpha1 * s + np.sqrt(true_values[\"var_e1\"]) * np.random.randn()\n", "\n", " def gen_m_hat(alpha2):\n", " return 1 * alpha2 + np.sqrt(true_values[\"var_e2\"]) * np.random.randn()\n", "\n", " def gen_alpha1(alpha1, alpha2):\n", " w1 = np.sqrt(true_values[\"var_w1\"]) * np.random.randn()\n", " return true_values[\"delta1\"] * alpha1 + true_values[\"delta2\"] * alpha2 + w1\n", "\n", " def gen_alpha2(alpha2):\n", " w2 = np.sqrt(true_values[\"var_w2\"]) * np.random.randn()\n", " return true_values[\"delta3\"] * alpha2 + w2\n", "\n", " s_t = 0.3 + np.sqrt(1.4) * np.random.randn(t_max)\n", " i_hat = np.empty(t_max)\n", " m_hat = np.empty(t_max)\n", "\n", " current_alpha1 = alpha1_0\n", " current_alpha2 = alpha2_0\n", " for t in range(t_max):\n", " # Obs eqns\n", " i_hat[t] = gen_i(current_alpha1, s_t[t])\n", " m_hat[t] = gen_m_hat(current_alpha2)\n", "\n", " # state eqns\n", " new_alpha1 = gen_alpha1(current_alpha1, current_alpha2)\n", " new_alpha2 = gen_alpha2(current_alpha2)\n", "\n", " # Update states for next period\n", " current_alpha1 = new_alpha1\n", " current_alpha2 = new_alpha2\n", "\n", " return i_hat, m_hat, s_t\n", "\n", "\n", "i_hat, m_hat, s_t = gen_data_for_model3()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What do we need to modify?\n", "\n", "Once again, we don't need to change much, but we need to be careful about the dimensions.\n", "\n", "#### 1) The `__init__` function changes from\n", "\n", "\n", "```python\n", "def __init__(self, y_t, x_t, w_t):\n", " exog = np.c_[x_t, w_t]\n", "\n", " super(TVRegressionExtended, self).__init__(\n", " endog=y_t, exog=exog, k_states=2,\n", " initialization='diffuse')\n", "\n", " self.ssm['design'] = exog.T[np.newaxis, :, :] # shaped 1 x 2 x nobs\n", " self.ssm['selection'] = np.eye(self.k_states)\n", " self.ssm['transition'] = np.eye(self.k_states)\n", "```\n", "\n", "to\n", "\n", "\n", "```python\n", "def __init__(self, i_t: np.array, s_t: np.array, m_t: np.array):\n", "\n", " exog = np.c_[s_t, np.repeat(1, len(s_t))] # exog.shape => (nobs, 2)\n", " \n", " super(MultipleYsModel, self).__init__(\n", " endog=np.c_[i_t, m_t], exog=exog, k_states=2,\n", " initialization='diffuse')\n", " \n", " self.ssm['design'] = np.zeros((self.k_endog, self.k_states, self.nobs))\n", " self.ssm['design', 0, 0, :] = s_t\n", " self.ssm['design', 1, 1, :] = 1\n", "```\n", "\n", "Note that we did not have to specify `k_endog` anywhere. The initialization does this for us after checking the dimensions of the `endog` matrix.\n", "\n", "\n", "#### 2) The `update()` function \n", "\n", "changes from \n", "\n", "```python\n", "def update(self, params, **kwargs):\n", " params = super(TVRegressionExtended, self).update(params, **kwargs)\n", "\n", " self['obs_intercept', 0, 0] = params[0]\n", " self['obs_cov', 0, 0] = params[1]\n", " \n", " self['state_cov'] = np.diag(params[2:4])\n", " self['transition', 0, 0] = params[4]\n", " self['transition', 1, 1] = params[5]\n", "```\n", "\n", "\n", "to\n", "\n", "\n", "```python\n", "def update(self, params, **kwargs):\n", " params = super(MultipleYsModel, self).update(params, **kwargs)\n", " \n", " \n", " #The following line is not needed (by default, this matrix is initialized by zeroes),\n", " #But I leave it here so the dimensions are clearer\n", " self['obs_intercept'] = np.repeat([np.array([0, 0])], self.nobs, axis=0).T\n", " self['obs_cov', 0, 0] = params[0]\n", " self['obs_cov', 1, 1] = params[1]\n", "\n", " self['state_cov'] = np.diag(params[2:4])\n", " #delta1, delta2, delta3\n", " self['transition', 0, 0] = params[4]\n", " self['transition', 0, 1] = params[5]\n", " self['transition', 1, 1] = params[6]\n", "```\n", "\n", "The rest of the methods change in pretty obvious ways (need to add parameter names, make sure the indexes work, etc). The full code for the function is right below" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:00.659031Z", "iopub.status.busy": "2026-07-25T23:30:00.658049Z", "iopub.status.idle": "2026-07-25T23:30:00.685486Z", "shell.execute_reply": "2026-07-25T23:30:00.683758Z" } }, "outputs": [], "source": [ "starting_values = {\n", " \"var_e1\": 0.2,\n", " \"var_e2\": 0.1,\n", " \"var_w1\": 0.15,\n", " \"var_w2\": 0.18,\n", " \"delta1\": 0.7,\n", " \"delta2\": 0.1,\n", " \"delta3\": 0.85,\n", "}\n", "\n", "\n", "class MultipleYsModel(sm.tsa.statespace.MLEModel):\n", " def __init__(self, i_t: np.array, s_t: np.array, m_t: np.array):\n", "\n", " exog = np.c_[s_t, np.repeat(1, len(s_t))] # exog.shape => (nobs, 2)\n", "\n", " super(MultipleYsModel, self).__init__(\n", " endog=np.c_[i_t, m_t], exog=exog, k_states=2, initialization=\"diffuse\"\n", " )\n", "\n", " self.ssm[\"design\"] = np.zeros((self.k_endog, self.k_states, self.nobs))\n", " self.ssm[\"design\", 0, 0, :] = s_t\n", " self.ssm[\"design\", 1, 1, :] = 1\n", "\n", " # These have ok shape. Placeholders since I'm changing them\n", " # in the update() function\n", " self.ssm[\"selection\"] = np.eye(self.k_states)\n", " self.ssm[\"transition\"] = np.eye(self.k_states)\n", "\n", " # Dictionary of positions to names\n", " self.position_dict = OrderedDict(\n", " var_e1=1, var_e2=2, var_w1=3, var_w2=4, delta1=5, delta2=6, delta3=7\n", " )\n", " self.initial_values = starting_values\n", " self.positive_parameters = slice(0, 4)\n", "\n", " @property\n", " def param_names(self):\n", " return list(self.position_dict.keys())\n", "\n", " @property\n", " def start_params(self):\n", " \"\"\"\n", " Initial values\n", " \"\"\"\n", " # (optional) Use scale for var_e1 and var_e2 starting values\n", " params = np.r_[\n", " self.initial_values[\"var_e1\"],\n", " self.initial_values[\"var_e2\"],\n", " self.initial_values[\"var_w1\"],\n", " self.initial_values[\"var_w2\"],\n", " self.initial_values[\"delta1\"],\n", " self.initial_values[\"delta2\"],\n", " self.initial_values[\"delta3\"],\n", " ]\n", " return params\n", "\n", " def transform_params(self, unconstrained):\n", " \"\"\"\n", " If you need to restrict parameters\n", " For example, variances should be > 0\n", " Parameters maybe have to be within -1 and 1\n", " \"\"\"\n", " constrained = unconstrained.copy()\n", " constrained[self.positive_parameters] = (\n", " constrained[self.positive_parameters] ** 2\n", " )\n", " return constrained\n", "\n", " def untransform_params(self, constrained):\n", " \"\"\"\n", " Need to reverse what you did in transform_params()\n", " \"\"\"\n", " unconstrained = constrained.copy()\n", " unconstrained[self.positive_parameters] = (\n", " unconstrained[self.positive_parameters] ** 0.5\n", " )\n", " return unconstrained\n", "\n", " def update(self, params, **kwargs):\n", " params = super(MultipleYsModel, self).update(params, **kwargs)\n", "\n", " # The following line is not needed (by default, this matrix is initialized by zeroes),\n", " # But I leave it here so the dimensions are clearer\n", " self[\"obs_intercept\"] = np.repeat([np.array([0, 0])], self.nobs, axis=0).T\n", "\n", " self[\"obs_cov\", 0, 0] = params[0]\n", " self[\"obs_cov\", 1, 1] = params[1]\n", "\n", " self[\"state_cov\"] = np.diag(params[2:4])\n", "\n", " # delta1, delta2, delta3\n", " self[\"transition\", 0, 0] = params[4]\n", " self[\"transition\", 0, 1] = params[5]\n", " self[\"transition\", 1, 1] = params[6]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:00.687463Z", "iopub.status.busy": "2026-07-25T23:30:00.687259Z", "iopub.status.idle": "2026-07-25T23:30:02.980213Z", "shell.execute_reply": "2026-07-25T23:30:02.978495Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Statespace Model Results \n", "==============================================================================\n", "Dep. Variable: ['y1', 'y2'] No. Observations: 500\n", "Model: MultipleYsModel Log Likelihood 411.114\n", "Date: Sat, 25 Jul 2026 AIC -804.228\n", "Time: 23:30:02 BIC -766.297\n", "Sample: 0 HQIC -789.344\n", " - 500 \n", "Covariance Type: opg \n", "==============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "------------------------------------------------------------------------------\n", "var_e1 0.0100 0.001 9.576 0.000 0.008 0.012\n", "var_e2 0.0089 0.002 4.789 0.000 0.005 0.013\n", "var_w1 0.0115 0.002 7.095 0.000 0.008 0.015\n", "var_w2 0.0121 0.002 5.346 0.000 0.008 0.016\n", "delta1 0.8183 0.017 47.319 0.000 0.784 0.852\n", "delta2 0.4614 0.052 8.910 0.000 0.360 0.563\n", "delta3 0.6639 0.054 12.240 0.000 0.558 0.770\n", "===================================================================================\n", "Ljung-Box (L1) (Q): 4.78, 0.00 Jarque-Bera (JB): 0.27, 0.44\n", "Prob(Q): 0.03, 1.00 Prob(JB): 0.88, 0.80\n", "Heteroskedasticity (H): 1.05, 1.06 Skew: 0.06, 0.07\n", "Prob(H) (two-sided): 0.76, 0.72 Kurtosis: 2.99, 3.01\n", "===================================================================================\n", "\n", "Warnings:\n", "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n" ] } ], "source": [ "mod = MultipleYsModel(i_hat, s_t, m_hat)\n", "res = mod.fit()\n", "\n", "print(res.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bonus: PyMC for fast Bayesian estimation\n", "\n", "In this section I'll show how you can take your custom state space model and easily plug it into PyMC and estimate it with Bayesian methods. In particular, this example will show you an estimation with a version of Hamiltonian Monte Carlo called the No-U-Turn Sampler (NUTS).\n", "\n", "I'm basically copying the ideas contained [in this notebook](https://www.statsmodels.org/dev/examples/notebooks/generated/statespace_sarimax_pymc3.html), so make sure to check that for more details." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:02.983168Z", "iopub.status.busy": "2026-07-25T23:30:02.982293Z", "iopub.status.idle": "2026-07-25T23:30:04.132178Z", "shell.execute_reply": "2026-07-25T23:30:04.127678Z" } }, "outputs": [], "source": [ "# Extra requirements\n", "import pymc as pm\n", "import pytensor.tensor as pt\n", "from pytensor.graph.op import Op" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need to define some helper functions to connect PyTensor to the likelihood function that is implied in our model" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:04.136134Z", "iopub.status.busy": "2026-07-25T23:30:04.135628Z", "iopub.status.idle": "2026-07-25T23:30:04.148441Z", "shell.execute_reply": "2026-07-25T23:30:04.147347Z" } }, "outputs": [], "source": [ "class Loglike(Op):\n", "\n", " itypes = [pt.dvector] # expects a vector of parameter values when called\n", " otypes = [pt.dscalar] # outputs a single scalar value (the log likelihood)\n", "\n", " def __init__(self, model):\n", " self.model = model\n", " self.score = Score(self.model)\n", "\n", " def perform(self, node, inputs, outputs):\n", " (theta,) = inputs # contains the vector of parameters\n", " llf = self.model.loglike(theta)\n", " outputs[0][0] = np.array(llf) # output the log-likelihood\n", "\n", " def grad(self, inputs, g):\n", " # the method that calculates the gradients - it actually returns the\n", " # vector-Jacobian product - g[0] is a vector of parameter values\n", " (theta,) = inputs # our parameters\n", " out = [g[0] * self.score(theta)]\n", " return out\n", "\n", "\n", "class Score(Op):\n", " itypes = [pt.dvector]\n", " otypes = [pt.dvector]\n", "\n", " def __init__(self, model):\n", " self.model = model\n", "\n", " def perform(self, node, inputs, outputs):\n", " (theta,) = inputs\n", " outputs[0][0] = self.model.score(theta)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll simulate again the data we used for model 1.\n", "We'll also `fit` it again and save the results to compare them to the Bayesian posterior we get." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:04.152880Z", "iopub.status.busy": "2026-07-25T23:30:04.150736Z", "iopub.status.idle": "2026-07-25T23:30:04.625562Z", "shell.execute_reply": "2026-07-25T23:30:04.624620Z" } }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "y_t, x_t, w_t, beta_x, beta_w = gen_data_for_model1()\n", "plt.plot(y_t)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:04.632891Z", "iopub.status.busy": "2026-07-25T23:30:04.632000Z", "iopub.status.idle": "2026-07-25T23:30:05.460858Z", "shell.execute_reply": "2026-07-25T23:30:05.457341Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Statespace Model Results \n", "==============================================================================\n", "Dep. Variable: y No. Observations: 1000\n", "Model: TVRegression Log Likelihood -2336.846\n", "Date: Sat, 25 Jul 2026 AIC 4685.692\n", "Time: 23:30:05 BIC 4715.139\n", "Sample: 0 HQIC 4696.884\n", " - 1000 \n", "Covariance Type: opg \n", "===============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------\n", "intercept 5.0548 0.202 25.050 0.000 4.659 5.450\n", "var.e 5.1240 0.249 20.571 0.000 4.636 5.612\n", "var.x.coeff 0.0468 0.022 2.097 0.036 0.003 0.091\n", "var.w.coeff 0.4092 0.096 4.243 0.000 0.220 0.598\n", "===================================================================================\n", "Ljung-Box (L1) (Q): 0.08 Jarque-Bera (JB): 0.98\n", "Prob(Q): 0.78 Prob(JB): 0.61\n", "Heteroskedasticity (H): 1.05 Skew: 0.07\n", "Prob(H) (two-sided): 0.63 Kurtosis: 2.93\n", "===================================================================================\n", "\n", "Warnings:\n", "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n" ] } ], "source": [ "mod = TVRegression(y_t, x_t, w_t)\n", "res_mle = mod.fit(disp=False)\n", "print(res_mle.summary())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Bayesian estimation\n", "\n", "We need to define a prior for each parameter and the number of draws and burn-in points" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:05.466765Z", "iopub.status.busy": "2026-07-25T23:30:05.466454Z", "iopub.status.idle": "2026-07-25T23:30:05.474379Z", "shell.execute_reply": "2026-07-25T23:30:05.473324Z" } }, "outputs": [], "source": [ "# Set sampling params\n", "ndraws = 3000 # 3000 number of draws from the distribution\n", "nburn = 600 # 600 number of \"burn-in points\" (which will be discarded)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2026-07-25T23:30:05.477314Z", "iopub.status.busy": "2026-07-25T23:30:05.476801Z", "shell.execute_reply": "2026-07-25T23:47:22.652082Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/site-packages/pytensor/gradient.py:1327: FutureWarning: Loglike should implement `pullback` instead of `L_op`/`grad`. Direct `L_op`/`grad` implementations are deprecated and will stop being called in a future version.\n", " input_grads = node.op.pullback(inputs, node.outputs, new_output_grads)\n", "Initializing NUTS using jitter+adapt_diag...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/site-packages/pytensor/gradient.py:1327: FutureWarning: Loglike should implement `pullback` instead of `L_op`/`grad`. Direct `L_op`/`grad` implementations are deprecated and will stop being called in a future version.\n", " input_grads = node.op.pullback(inputs, node.outputs, new_output_grads)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/site-packages/pytensor/link/numba/dispatch/basic.py:234: UserWarning: Numba will use object mode to run Loglike's perform method. Set `pytensor.config.compiler_verbose = True` to see more details.\n", " warnings.warn(\n", "/opt/hostedtoolcache/Python/3.14.6/x64/lib/python3.14/site-packages/pytensor/link/numba/dispatch/basic.py:234: UserWarning: Numba will use object mode to run Score's perform method. Set `pytensor.config.compiler_verbose = True` to see more details.\n", " warnings.warn(\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Sequential sampling (2 chains in 1 job)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "NUTS: [intercept, var.e, var.x.coeff, var.w.coeff]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "387aae8add1c4c7faee59ed2a06640b6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Construct an instance of the PyTensor wrapper defined above, which\n", "# will allow PyMC to compute the likelihood and Jacobian in a way\n", "# that it can make use of. Here we are using the same model instance\n", "# created earlier for MLE analysis (we could also create a new model\n", "# instance if we preferred)\n", "loglike = Loglike(mod)\n", "\n", "with pm.Model():\n", " # Priors\n", " intercept = pm.Uniform(\"intercept\", 1, 10)\n", " var_e = pm.InverseGamma(\"var.e\", 2.3, 0.5)\n", " var_x_coeff = pm.InverseGamma(\"var.x.coeff\", 2.3, 0.1)\n", " var_w_coeff = pm.InverseGamma(\"var.w.coeff\", 2.3, 0.1)\n", "\n", " # convert variables to tensor vectors\n", " theta = pt.as_tensor_variable([intercept, var_e, var_x_coeff, var_w_coeff])\n", "\n", " # use a Potential to add the statsmodels log-likelihood to the model\n", " pm.Potential(\"likelihood\", loglike(theta))\n", "\n", " # Draw samples\n", " trace = pm.sample(\n", " ndraws,\n", " tune=nburn,\n", " cores=1,\n", " compute_convergence_checks=False,\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How does the posterior distribution compare with the MLE estimation?\n", "\n", "The clearly peak around the MLE estimate." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "execution": { "shell.execute_reply": "2026-07-25T23:47:39.219363Z" } }, "outputs": [], "source": [ "_ = pm.plot_trace(trace)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.14.6" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "387aae8add1c4c7faee59ed2a06640b6": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_9a4ec7b20c154bb0aa7f85815109ef41", "msg_id": "", "outputs": [ { "data": { "text/html": "
                                                                                                                   \n                                                             Grad                                                  \n  Progress               Draw        Divergen…   Step size   evals       Speed                Elapsed    Remaini…  \n ───────────────────────────────────────────────────────────────────────────────────────────────────────────────── \n  ━━━━━━━━━━━━━━━━━━━   3000        0           1.042       3           6.27 draws/s         0:09:34    0:00:00   \n  ━╸━━━━━━━━━━━━━━━━   328         0           0.824       1           4.35 draws/s         0:01:15    0:07:24   \n                                                                                                                   \n
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