Bayesian Structural Time Series (BSTS)

1. What is Bayesian Structural Time Series (BSTS)?

Using Bayesian Structural Time Series (BSTS) is one of the most potent methodology in measuring causal effects in the absence of control group. The underlying method uses BSTS, which employs Bayesian priors to estimate trend, seasonality and regression components. The projection from BSTS serves as a counterfactual, which is then compared against the observed treatment values over time....