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Case studies in Bayesian statistical modelling and analysis /
"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, re...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex :
Wiley,
2013.
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| Colección: | Wiley series in probability and statistics.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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].