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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.
|
| Colección: | Wiley series in probability and statistics.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Case studies in Bayesian statistical modelling and analysis / |c edited by Clair L. Alston, Kerrie L. Mengersen, and Anthony N. Pettitt. |
| 246 | 3 | |a Case studies in Bayesian statistical modeling and analysis | |
| 264 | 1 | |a Chichester, West Sussex : |b Wiley, |c 2013. | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Wiley series in probability and statistics | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record and CIP data provided by publisher. | |
| 505 | 0 | |a 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]. | |
| 520 | |a "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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Bayesian Analysis. |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 700 | 1 | |a Alston, Clair. | |
| 700 | 1 | |a Mengersen, Kerrie L. | |
| 700 | 1 | |a Pettitt, Anthony |q (Anthony N.) | |
| 776 | 0 | 8 | |i Print version: |t Case studies in Bayesian statistical modelling and analysis |z 9781119941828 |w (DLC) 2012024683 |
| 830 | 0 | |a Wiley series in probability and statistics. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781118394328/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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