Bayesian structural time series

Bayesian Structural Time Series is a model used to predict trends in data over time. It looks at patterns in the data and makes guesses about what trends the data will follow. Think of it like a graph you make with the data, but Bayesian Structural Time Series takes it a step further and makes a prediction about what the graph might look like in the future.