Probability and Bayesian Modeling | Statistics

Product Description

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations conditional probability discrete and continuous distributions and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents seve…