Learn to make predictions under uncertainty using Bayesian methods and decision theory. From prior beliefs to time series forecasting, master probabilistic prediction.
Two philosophies of probability
Beliefs before and after evidence
How probable is the evidence?
Refining predictions with new data
Forecasting with probability
Making optimal choices under uncertainty
Quantifying and managing risk
Predicting sequential data
Applied prediction in practice