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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...

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Gorde:
Egile nagusia: Puza, Borek
Formatua: Online
Hizkuntza:ingelesa
Argitaratua: ANU Press 2021
Gaiak:
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
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Gaia: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 models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.

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