Can I read SMBI: Bayesian Statistics Overview on EtoBox?
SMBI: Bayesian Statistics Overview by Hong Kimmeng is a document available to read on EtoBox.
What is SMBI: Bayesian Statistics Overview about?
This document provides 20 examples of Bayesian statistics concepts and calculations. It introduces key Bayesian ideas like prior and posterior distributions, likelihoods, and conjugate prior distributions. It includes examples calculating probabilities, maximum likelihood estimates, and constructing Bayesian models for binomial, normal, Poisson and other distributions. It also provides examples analyzing real data sets and programming Bayesian analyses in R or Python.
- Author
- Hong Kimmeng
- Language
- EN