Bayesian Population Analysis Using WinBUGS

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  • Publisher : Academic Press
  • Release : 11 August 2022
  • ISBN : 9780123870209
  • Page : 535 pages
  • Rating : 4.5/5 from 103 voters

Bayesian Population Analysis Using WinBUGS Book PDF summary

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

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Bayesian Population Analysis Using WinBUGS

Bayesian Population Analysis Using WinBUGS
  • Author : Marc Kéry,Michael Schaub
  • Publisher : Academic Press
  • Release Date : 2012
  • ISBN : 9780123870209
DOWNLOAD BOOKBayesian Population Analysis Using WinBUGS

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

Introduction to WinBUGS for Ecologists

Introduction to WinBUGS for Ecologists
  • Author : Marc Kery
  • Publisher : Academic Press
  • Release Date : 2010-07-19
  • ISBN : 0123786061
DOWNLOAD BOOKIntroduction to WinBUGS for Ecologists

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most

Integrated Population Models

Integrated Population Models
  • Author : Michael Schaub,Marc Kery
  • Publisher : Academic Press
  • Release Date : 2021-11-23
  • ISBN : 9780128209158
DOWNLOAD BOOKIntegrated Population Models

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the

Bayesian Analysis for Population Ecology

Bayesian Analysis for Population Ecology
  • Author : Ruth King,Byron Morgan,Olivier Gimenez,Steve Brooks
  • Publisher : CRC Press
  • Release Date : 2009-10-30
  • ISBN : 1439811881
DOWNLOAD BOOKBayesian Analysis for Population Ecology

Novel Statistical Tools for Conserving and Managing PopulationsBy gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to easily incorporate random effects, fit state-space mode

Analysis and Management of Animal Populations

Analysis and Management of Animal Populations
  • Author : Byron K. Williams,James D. Nichols,Michael J. Conroy
  • Publisher : Academic Press
  • Release Date : 2002-05
  • ISBN : 9780127544069
DOWNLOAD BOOKAnalysis and Management of Animal Populations

Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal

Bayesian Modeling Using WinBUGS

Bayesian Modeling Using WinBUGS
  • Author : Ioannis Ntzoufras
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-20
  • ISBN : 9781118210352
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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

Ecological Models and Data in R

Ecological Models and Data in R
  • Author : Benjamin M. Bolker
  • Publisher : Princeton University Press
  • Release Date : 2008-07-21
  • ISBN : 9780691125220
DOWNLOAD BOOKEcological Models and Data in R

Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

Bayesian Methods for Ecology

Bayesian Methods for Ecology
  • Author : Michael A. McCarthy
  • Publisher : Cambridge University Press
  • Release Date : 2007-05-10
  • ISBN : 9781139463874
DOWNLOAD BOOKBayesian Methods for Ecology

The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses.

The BUGS Book

The BUGS Book
  • Author : David Lunn,Chris Jackson,Nicky Best,Andrew Thomas,David Spiegelhalter
  • Publisher : CRC Press
  • Release Date : 2012-10-02
  • ISBN : 9781466586666
DOWNLOAD BOOKThe BUGS Book

Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples

Hierarchical Modeling and Inference in Ecology

Hierarchical Modeling and Inference in Ecology
  • Author : J. Andrew Royle,Robert M. Dorazio
  • Publisher : Elsevier
  • Release Date : 2008-10-15
  • ISBN : 9780080559254
DOWNLOAD BOOKHierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
  • Author : Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt
  • Publisher : Academic Press
  • Release Date : 2015-04-04
  • ISBN : 9780128016787
DOWNLOAD BOOKBayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces

Bayesian Methods for Statistical Analysis

Bayesian Methods for Statistical Analysis
  • Author : Borek Puza
  • Publisher : ANU Press
  • Release Date : 2015-10-01
  • ISBN : 9781921934261
DOWNLOAD BOOKBayesian Methods for Statistical Analysis

Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of

Network Meta-Analysis for Decision-Making

Network Meta-Analysis for Decision-Making
  • Author : Sofia Dias,A. E. Ades,Nicky J. Welton,Jeroen P. Jansen,Alexander J. Sutton
  • Publisher : John Wiley & Sons
  • Release Date : 2018-03-19
  • ISBN : 9781118647509
DOWNLOAD BOOKNetwork Meta-Analysis for Decision-Making

A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes

Bayesian Models

Bayesian Models
  • Author : N. Thompson Hobbs,Mevin B. Hooten
  • Publisher : Princeton University Press
  • Release Date : 2015-08-04
  • ISBN : 9781400866557
DOWNLOAD BOOKBayesian Models

Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods—in language ecologists can understand. Unlike other books on the subject, this one emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians. It begins with

Studyguide for Bayesian Population Analysis Using WinBUGS, a Hierarchical Perspective by Kery, Marc

Studyguide for Bayesian Population Analysis Using WinBUGS, a Hierarchical Perspective by Kery, Marc
  • Author : Cram101
  • Publisher : Unknown
  • Release Date : 2022-08-11
  • ISBN : OCLC:923493692
DOWNLOAD BOOKStudyguide for Bayesian Population Analysis Using WinBUGS, a Hierarchical Perspective by Kery, Marc