Bayesian Modeling Using WinBUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Modeling Using WinBUGS write by Ioannis Ntzoufras. This book was released on 2011-09-20. Bayesian Modeling Using WinBUGS available in PDF, EPUB and Kindle. A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles. The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key topics, including: Markov Chain Monte Carlo algorithms in Bayesian inference Generalized linear models Bayesian hierarchical models Predictive distribution and model checking Bayesian model and variable evaluation Computational notes and screen captures illustrate the use of both WinBUGS as well as R software to apply the discussed techniques. Exercises at the end of each chapter allow readers to test their understanding of the presented concepts and all data sets and code are available on the book's related Web site. Requiring only a working knowledge of probability theory and statistics, Bayesian Modeling Using WinBUGS serves as an excellent book for courses on Bayesian statistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, actuarial science, medicine, and the social sciences who use WinBUGS in their everyday work.
Bayesian Methods and Applications Using WinBUGS
Bayesian Methods and Applications Using WinBUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Methods and Applications Using WinBUGS write by Palavinnage Saman Muthukumarana. This book was released on 2010. Bayesian Methods and Applications Using WinBUGS available in PDF, EPUB and Kindle. In Bayesian statistics we are interested in the posterior distribution of parameters. In simple cases we can derive analytical expressions for the posterior. However in most situations, the posterior expectations cannot be calculated analytically due to the complexity of the integrals. This thesis develops some new methodologies for applied problems which deal with multidimensional parameters, complex model structures and complex likelihood functions. The first project is concerned with the simulation of one-day cricket matches. Given that only a finite number of outcomes can occur on each ball, a discrete generator on a finite set is developed where the outcome probabilities are estimated from historical data. The probabilities depend on the batsman, the bowler, the number of wickets lost, the number of balls bowled and the innings. The proposed simulator appears to do a reasonable job at producing realistic results. The simulator allows investigators to address complex questions involving one-day cricket matches. The second project investigates the suitability of Dirichlet process priors in the Bayesian analysis of network data. Dirichlet process priors allow the researcher to weaken prior assumptions by going from a parametric to a semiparametric framework. This is important in the analysis of network data where complex nodal relationships rarely allow a researcher the confidence in assigning parametric priors. The Dirichlet process also provides a clustering mechanism which is often suitable for network data where groups of individuals in a network can be thought of as arising from the same cohort. The approach is highlighted on two network models and implemented using WinBUGS. The third project develops a Bayesian latent variable model to analyze ordinal survey data. The data are viewed as multivariate responses arising from a class of continuous latent variables with known cut-points. Each respondent is characterized by two parameters that have a Dirichlet process as their joint prior distribution. The proposed mechanism adjusts for classes of personality traits. As the resulting posterior distribution is complex and high-dimensional, posterior expectations are approximated by MCMC methods. The methodology is tested through simulation studies and illustrated using student feedback data from course evaluations at Simon Fraser University.
Bayesian Population Analysis Using WinBUGS
Bayesian Population Analysis Using WinBUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Population Analysis Using WinBUGS write by Marc Kéry. This book was released on 2012. Bayesian Population Analysis Using WinBUGS available in PDF, EPUB and Kindle. Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R
Introduction to WinBUGS for Ecologists
Introduction to WinBUGS for Ecologists - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to WinBUGS for Ecologists write by Marc Kery. This book was released on 2010. Introduction to WinBUGS for Ecologists available in PDF, EPUB and Kindle. Introduction to WinBUGS for Ecologists is an introduction to Bayesian statistical modeling, written for ecologists by an ecologist, using the widely available and free WinBUGS package. Examples are placed within a comprehensive and largely non-mathematical overview of linear, generalized linear (GLM), linear mixed and generalized linear mixed models (GLMM). This book will be interest to any quantitative scientist who uses regression-type models, especially ecologists, agronomists, geologists, epidemiologists, sociologists, and psychologists.
Bayesian Analysis Made Simple
Bayesian Analysis Made Simple - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Analysis Made Simple write by Phil Woodward. This book was released on 2016-04-19. Bayesian Analysis Made Simple available in PDF, EPUB and Kindle. Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to cre
