Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...

Part I: Fundamentals of Bayesian inference. Probability and inference -- Single-parameter models -- Introduction to multiparameter models -- Asymptotics and connections to non-Bayesian approaches -- ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...