This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. It includes features such as: critical thinking on causal effects; objective Bayesian philosophy; nonparametric Bayesian methodology; simulation based computing techniques; and Bioinformatics and Biostatistics.
發表於2024-12-23
Handbook of Statistics, Volume 25 2024 pdf epub mobi 電子書 下載
圖書標籤: 2014
Handbook of Statistics, Volume 25 2024 pdf epub mobi 電子書 下載