The Resource Case studies in Bayesian statistical modelling and analysis, edited by Clair L. Alston, Kerrie L. Mengersen, and Anthony N. Pettitt

Case studies in Bayesian statistical modelling and analysis, edited by Clair L. Alston, Kerrie L. Mengersen, and Anthony N. Pettitt

Label
Case studies in Bayesian statistical modelling and analysis
Title
Case studies in Bayesian statistical modelling and analysis
Statement of responsibility
edited by Clair L. Alston, Kerrie L. Mengersen, and Anthony N. Pettitt
Title variation
Case studies in Bayesian statistical modeling and analysis
Contributor
Subject
Language
eng
Summary
"This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches."--Publisher's website
Member of
Cataloging source
DLC
Dewey number
519.5/42
Index
index present
LC call number
QA279.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Wiley series in probability and statistics
Label
Case studies in Bayesian statistical modelling and analysis, edited by Clair L. Alston, Kerrie L. Mengersen, and Anthony N. Pettitt
Publication
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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]
Control code
ocn808108827
Extent
1 online resource
Form of item
online
Isbn
9781118394328
Lccn
2012034365
Media category
computer
Media MARC source
rdamedia
Media type code
c
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000194
Publisher number
EB00063480
http://library.link/vocab/recordID
.b27444326
Specific material designation
remote
System control number
  • (OCoLC)808108827
  • pebco1118394321

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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