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Case studies in Bayesian statistical modelling and analysis

Author: Clair Alston; Kerrie L Mengersen; Anthony Pettitt
Publisher: Chichester, West Sussex : John Wiley & Sons, 2013. ♭2013
Series: Wiley series in probability and statistics.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:

Case Studies in Bayesian Statistical Modelling and Analysis provides an accessible foundation into Bayesian modelling and analysis using real-world models.

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Details

Document Type: Book
All Authors / Contributors: Clair Alston; Kerrie L Mengersen; Anthony Pettitt
ISBN: 9781119941828 1119941822
OCLC Number: 796758604
Description: xxi, 464 pages : illustrations ; 24 cm.
Contents: Introduction / Clair L. Alston [and others] --
Introduction to MCMC / Anthony N. Pettitt and Candice M. Hincksman --
Priors: silent or active partners of Bayesian inference? / Samantha Low Choy --
Bayesian analysis of the normal linear regression model / Christopher M. Strickland and Clair L. Alston --
Adapting ICU mortality models for local data: a Bayesian approach / Petra L. Graham, Kerrie L. Mengersen and David A. Cook --
A Bayesian regression model with variable selection for genome-wide association studies / Carla Chen [and others] --
Bayesian meta-analysis / Jegar O. Pitchforth and Kerrie L. Mengersen --
Bayesian mixed effects models / Clair L. Alston [and others] --
Ordering of hierarchies in hierarchical models: bone mineral density estimation / Cathal D. Walsh and Kerrie L. Mengersen --
Bayesian Weibull survival model for gene expression data / Sri Astuti Thamrin, James M. McGree and Kerrie L. Mengersen --
Bayesian change point detection in monitoring clinical outcomes / Hassan Assareh, Ian Smith and Kerrie L. Mengersen --
Bayesian splines / Samuel Clifford and Samantha Low Choy --
Disease mapping using Bayesian hierarchical models / Arul Earnest, Susanna M. Cramb and Nicole M. White --
Moisture, crops and salination: an analysis of a three-dimensional agricultural data set / Margaret Donald [and others] --
A Bayesian approach to multivariate state space modelling: a study of a Fama-French asset-pricing model with time-varying regressors / Christopher M. Strickland and Philip Gharghori --
Bayesian mixture models: when the thing you need to know is the thing you cannot measure / Clair L. Alston, Kerrie L. Mengersen and Graham E. Gardener --
Latent class models in medicine / Margaret Rolfe, Nicole M. White and Carla Chen --
Hidden Markov models for complex stochastic processes: a case study in electrophysiology / Nicole M. White [and others] --
Bayesian classification and regression trees / Rebecca A. O'Leary [and others] --
Tangled webs: using Bayesian networks in the fight against infection / Mary Waterhouse and Sandra Johnson --
Implementing adaptive dose finding studies using sequential Monte Carlo / James M. McGree, Christopher C. Drovandi and Anthony N. Pettitt --
Likelihood-free inference for transmission rates of nosocomial pathogens / Christopher C. Drovandi and Anthony N. Pettitt --
Variational Bayesian inference for mixture models / Clare A. McGrory --
Issues in designing hybrid algorithms / Jeong E. Lee, Kerrie L. Mengersen and Christian P. Robert --
A Python package for Bayesian estimation using Markov chain Monte Carlo / Christopher M. Strickland [and others].
Series Title: Wiley series in probability and statistics.
Responsibility: edited by Clair L. Alston, Kerrie L. Mengersen and Anthony N. Pettitt, Queensland University of Technology, Brisbane, Australia.
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