Structural time series (STS) models [3] are a family of probability models for time series that includes and generalizes many standard time-series This support includes Bayesian inference of model parameters using variational inference (VI) and Hamiltonian Monte Carlo (HMC), computing...I'm trying to learn bayesian structural time series analysis. For a variety of reasons I need to use Python (mostly pymc3) not R so please do not suggest the bsts R Can anyone recommend online tutorials or lectures for exploring Bayesian structural models using MCMC preferably in Python?