Posts tagged hidden markov model
Hidden Markov Models in PyMC: marginalize and recover a DiscreteMarkovChain
- 18 July 2026
A hidden Markov model (HMM) describes a system that moves through a sequence of hidden discrete states, where each state emits a noisy observation. We never see the states directly; we only see the emissions, and we want to reason backward to the states that most likely produced them.
How to wrap a JAX function for use in PyMC
- 24 March 2022
This notebook uses libraries that are not PyMC dependencies and therefore need to be installed specifically to run this notebook. Open the dropdown below for extra guidance.