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Bayesian Analysis Fundamentals by Cristel Bautista is a document available to read on EtoBox.

What is Bayesian Analysis Fundamentals about?

The document discusses Bayesian analysis and Bayesian theorem, which aims to estimate parameters of an underlying distribution based on observed data by revising initial event probabilities using prior knowledge and observed likelihoods. An example is provided of using Bayesian analysis to estimate the number of females in an original group based on a sample, where the prior, likelihood, and posterior distributions are considered. Key concepts covered include priors, likelihoods, posteriors, and how the pos

Author

Cristel Bautista

Language

EN