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...

Полное описание

Библиографические подробности

Главный автор:	Puza, Borek
Формат:	Online
Язык:	английский
Опубликовано:	ANU Press 2021
Предметы:	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
Online-ссылка:	611011
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!