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

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Read or download book entitled Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and Stan written by Franzi Korner-Nievergelt and published by Academic Press in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and Stan book is available in the library.

  • Publisher : Academic Press
  • Release : 04 April 2015
  • ISBN : 9780128016787
  • Page : 328 pages
  • Rating : 4.5/5 from 103 voters

Download Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and Stan in PDF, Epub and Kindle

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 software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

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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
GET THIS 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 Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN; Including Comparisons to Frequentist Statistics

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN; Including Comparisons to Frequentist Statistics
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2022-10-02
  • ISBN : OCLC:972041511
GET THIS BOOKBayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN; Including Comparisons to Frequentist Statistics

Bayesian Models for Astrophysical Data

Bayesian Models for Astrophysical Data
  • Author : Joseph M. Hilbe,Rafael S. de Souza,Emille E. O. Ishida
  • Publisher : Cambridge University Press
  • Release Date : 2017-04-27
  • ISBN : 9781107133082
GET THIS BOOKBayesian Models for Astrophysical Data

A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.

Spatial Data Analysis in Ecology and Agriculture Using R, Second Edition

Spatial Data Analysis in Ecology and Agriculture Using R, Second Edition
  • Author : Richard E. Plant
  • Publisher : CRC Press
  • Release Date : 2018-12-07
  • ISBN : 9781351189897
GET THIS BOOKSpatial Data Analysis in Ecology and Agriculture Using R, Second Edition

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of

Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

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  • Author : Marc Kery,J. Andrew Royle
  • Publisher : Academic Press
  • Release Date : 2015-11-14
  • ISBN : 9780128014868
GET THIS BOOKApplied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach

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  • Author : Sylvia Fruhwirth-Schnatter,Gilles Celeux,Christian P. Robert
  • Publisher : CRC Press
  • Release Date : 2019-01-04
  • ISBN : 9780429508868
GET THIS BOOKHandbook of Mixture Analysis

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very

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  • Publisher : Academic Press
  • Release Date : 2021-11-23
  • ISBN : 9780128209158
GET THIS 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

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  • Author : David A. MacLean
  • Publisher : MDPI
  • Release Date : 2020-01-15
  • ISBN : 9783039280964
GET THIS BOOKProtection Strategy against Spruce Budworm

Spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks are a dominant natural disturbance in the forests of Canada and northeastern USA. Widespread, severe defoliation by this native insect results in large-scale mortality and growth reductions of spruce (Picea sp.) and balsam fir (Abies balsamea (L.) Mill.) forests, and largely determines future age–class structure and productivity. The last major spruce budworm outbreak defoliated over 58 million hectares in the 1970s–1980s, and caused 32–43 million m3/year of timber volume losses from 1978 to 1987, in

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  • Publisher : Springer Nature
  • Release Date : 2021-07-27
  • ISBN : 9783030697778
GET THIS BOOKExplorations in Empirical Translation Process Research

This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms,

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  • Publisher : Cambridge Scholars Publishing
  • Release Date : 2019-03-22
  • ISBN : 9781527531871
GET THIS BOOKDiversity, Freedom and Evolution

Science is responsible for most of the miracles that define modern life. This leads to the disconcerting situation where need and belief are in conflict. There is an enormous literature about science and evolution in particular, but all previous authors have missed the point that evolution gives us basic tenets that are not situation- or culture-dependent. This book shows that the potential for evolution is based on the tenets of diversity and freedom, which also underlie most of the ethical

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  • Publisher : Oxford University Press
  • Release Date : 2021-06-17
  • ISBN : 9780198798170
GET THIS BOOKThe New Statistics with R

A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.

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  • Author : Nguyen Ngoc Thach,Doan Thanh Ha,Nguyen Duc Trung,Vladik Kreinovich
  • Publisher : Springer Nature
  • Release Date : 2021-07-26
  • ISBN : 9783030770945
GET THIS BOOKPrediction and Causality in Econometrics and Related Topics

This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates),

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The Adaptive Value of Languages: Non-Linguistic Causes of Language Diversity

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  • Publisher : Frontiers Media SA
  • Release Date : 2018-11-08
  • ISBN : 9782889456314
GET THIS BOOKThe Adaptive Value of Languages: Non-Linguistic Causes of Language Diversity

The goal of this eBook is to shed light on the non-linguistic causes of language diversity, and in particular, to explore the possibility that some aspects of the structure of languages may result from an adaptation to the natural and/or human-made environment. Traditionally, language diversity has been claimed to result from random, internally-motivated changes in language structure. However, ongoing research suggests instead that different factors that are external to language can promote language change and ultimately account for aspects

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  • Author : Marc Kery
  • Publisher : Academic Press
  • Release Date : 2010-07-19
  • ISBN : 0123786061
GET THIS 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