Time Series Forecasting, Bayesian Machine Learning.
contrast, ARIMA estimates parameters for the series, which remain fixed, then uses Maximum Likelihood estimation for determining the time series predictions. Bayesian methods use MCMC (Monte Carlo Markov Chains) to generate estimates from distributions. For this case study I’ll be using Pybats — a