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📔 참고도서 (A First Course in Bayesian Statistic Methods)

A_First_Course_in_Bayesian_Statistical_Methods.pdf

Index

Chapter 1.

One-parameter model

Chapter 2.

Monte Carlo Approximation

Chapter 3.

The normal model

Chapter 4.

Posterior approximation with the Gibbs sampler

Chapter 5.

The multivariate normal model

Chpater 6.

Group comparisons and hierarchical modeing

Chapter 7.

Linear regression

Chapter 8.

Nonconjucate priors and Metropolis-Hastings algorithms