Bayesian Statistical Modelling

Bayesian Statistical Modelling
Author: P. Congdon
Publisher:
Total Pages: 531
Release: 2001
Genre: Bayesian statistical decision theory
ISBN:


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An overview of modelling applications from a Bayesian perspective including a range of methodolgies and modelling techniques. Markov Chain and Monte Carlo methods are covered. Worked examples from the health and social sciences are presented.


Bayesian Statistical Modelling
Language: en
Pages: 531
Authors: P. Congdon
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 2001 - Publisher:

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An overview of modelling applications from a Bayesian perspective including a range of methodolgies and modelling techniques. Markov Chain and Monte Carlo metho
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin
Case Studies in Bayesian Statistical Modelling and Analysis
Language: en
Pages: 0
Authors: Clair L. Alston
Categories: Mathematics
Type: BOOK - Published: 2012-12-17 - Publisher: John Wiley & Sons

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Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation,
Bayesian Model Selection and Statistical Modeling
Language: en
Pages: 300
Authors: Tomohiro Ando
Categories: Mathematics
Type: BOOK - Published: 2010-05-27 - Publisher: CRC Press

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Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures
Bayesian Statistical Methods
Language: en
Pages: 288
Authors: Brian J. Reich
Categories: Mathematics
Type: BOOK - Published: 2019-04-12 - Publisher: CRC Press

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Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses o