Bayesian Methods for Statistical Analysis

Bayesian methods for statistical analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical m...

詳細記述

書誌詳細

第一著者:	Puza, Borek
フォーマット:	Online
言語:	英語
出版事項:	ANU Press 2021
主題:	statistics mathematics bayesian inference probability Algorithm Confidence interval Histogram Monte Carlo method Posterior probability Sampling (statistics) WinBUGS thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference
オンライン･アクセス:	611011
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