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UPDATE

This repo is no longer maintained! Statespace models are now a part of pymc-extras, and are maintained by the PyMC development team. Please look over there for the most up-to-date Bayesian State Space models!

For specific examples of how to use statespace models in pymc, you can check the following resources:

  • Time Series Analysis with Bayesian State Space Models in PyMC (YouTube, Github)
  • Forecasting Hurricane Trajectories with State Space Models (PyMC Examples)
  • Making a Custom State Space Model (Github)
  • Structural Time Series Modeling in PyMC (Github)
  • PyMC Statespace: VARMAX Example (Github)
  • PyMC Statespace: SARIMA Example (Github)
  • PyMC Statespace: Exponential Trend Smoothing Example (Github)

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A system for Bayesian estimation of state space models using PyMC

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