Adventures in BSTS - Part 3
Channel: Joshua Gloyd
Date: 01/05/2018

This video is the third video in the Adventures in BSTS series (and the final video on background/theory before we get to the implementation stage).  In this video we expand on the ideas from Part 2, but this time we incorporate Bayesian tools to use priors in our models.

****link to our Git Repository that contains all slides and data used in this tutorial series****
https://github.com/asbates/bayes-time-series

****link to the bsts package documentation****
https://cran.r-project.org/web/packages/bsts/bsts.pdf