sign in

Username Password

Forget Password ? ? Click Here

Don't Have An Account ? Create One

sign up

name Username Email Mobile Password

To contact us, you can contact us via the following mobile numbers by calling and WhatsApp


+989115682731 Connect To WhatsApp
+989917784643 Connect To WhatsApp
EnglishEnglish SpanishSpanish PortuguesePortuguese FrenchFrench GermanGerman ChineseChinese

Unlimited Access

For Registered Users

Secure Payment

100% Secure Payment

Easy Returns

10 Days Returns

24/7 Support

Call Us Anytime

Markov Chain Monte Carlo in Practice 1995 book

Markov Chain Monte Carlo in Practice

Details Of The Book

Markov Chain Monte Carlo in Practice

Category: Mathematical Statistics
edition:  
Authors: , ,   
serie: Chapman & Hall/CRC Interdisciplinary Statistics 
ISBN : 0412055511, 9780412055515 
publisher: Chapman and Hall/CRC 
publish year: 1995 
pages: 488 
language: English 
ebook format : DJVU (It will be converted to PDF, EPUB OR AZW3 if requested by the user) 
file size: 6 MB 

price : $10.68 12 With 11% OFF



Your Rating For This Book (Minimum 1 And Maximum 5):

User Ratings For This Book:       


You can Download Markov Chain Monte Carlo in Practice Book After Make Payment, According to the customer's request, this book can be converted into PDF, EPUB, AZW3 and DJVU formats.


Abstract Of The Book



Table Of Contents


Content:
Front Matter....Pages i-xvii
Introducing Markov chain Monte Carlo....Pages 1-19
Hepatitis B: a case study in MCMC methods....Pages 21-43
Markov chain concepts related to sampling algorithms....Pages 45-57
Introduction to general state-space Markov chain theory....Pages 59-74
Full conditional distributions....Pages 75-88
Strategies for improving MCMC....Pages 89-114
Implementing MCMC....Pages 115-130
Inference and monitoring convergence....Pages 131-143
Model determination using sampling-based methods....Pages 145-161
Hypothesis testing and model selection....Pages 163-187
Model checking and model improvement....Pages 189-201
Stochastic search variable selection....Pages 203-214
Bayesian model comparison via jump diffusions....Pages 215-239
Estimation and optimization of functions....Pages 241-258
Stochastic EM: method and application....Pages 259-273
Generalized linear mixed models....Pages 275-301
Hierarchical longitudinal modelling....Pages 303-319
Medical monitoring....Pages 321-337
MCMC for nonlinear hierarchical models....Pages 339-357
Bayesian mapping of disease....Pages 359-379
MCMC in image analysis....Pages 381-399
Measurement error....Pages 401-417
Gibbs sampling methods in genetics....Pages 419-440
Mixtures of distributions: inference and estimation....Pages 441-464
An archaeological example: radiocarbon dating....Pages 465-480
Back Matter....Pages 481-486




Comments Of The Book