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'STATISTIQUE BAYESIENNE'
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Les notions de base, les outils et les méthodes de résolutions générales de la statistique bayésienne sont rassemblés dans ce texte qui doit servir de référence et de justification aux méthodes d'approches de certains problèmes d'hydrologie et d[...]![]()
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This handbook provides an authoritative and in-depth overview of the essential topics related to the increasingly important field of choice modelling: a key tool for the understanding of behaviour and used to support decision-making across many [...]![]()
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E. Parent ; E. Rivot | Boca Raton (Floride), USA : CRC Press | Chapman & Hall/CRC Applied environmental statistics | 2013This book gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building thier own statistical models.![]()
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E. Parent ; E. Rivot | Boca Raton (Floride), USA : CRC Press | Chapman & Hall/CRC Applied Environmental Statistics | 2013Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological[...]![]()
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Introduction to WINbugs for Ecologists is an introduction to Bayesian statistical modeling, written for ecologists by an ecologist, using the widely available WinBUGS package. Examples are placed within a comprehensive and largely non-mathematic[...]![]()
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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal di[...]Nouveauté
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Xin-Yuan Song, Auteur ; Sik-Yum Lee, Auteur | Chichester [GBR] : John Wiley & Sons | Wiley series in probability and statistics | 2012This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introdu[...]Nouveauté
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A. Gelman ; J. Carlin ; H. Stern ; D. Dunson ; A. Vehtari ; D. Rubin | Chapman and Hall/CRC | Texts in Statistical Science | 2013Features Presents an accessible introduction to Bayesian statistics Focuses on the use of Bayesian inference in practice, with many examples of real statistical analyses throughout Includes plenty of exercises and bibliographic notes at the end [...]![]()
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A. Drummond, Auteur ; A. Drummond ; R. Bouckaert | Cambridge [GBR] : Cambridge University Press | 2015What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make se[...]![]()
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Ronald Christensen, Auteur ; Wesley Johnson, Auteur ; Adam Branscum, Auteur ; Timothy E. Hanson, Auteur | Boca Raton [USA] : Chapman & Hall/CRC | Texts in statistical science series | 2011Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statis[...]Nouveauté
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R. Johnston ; J. Rolfe ; R. Rosenberger ; R. Brouwer | London [GB] : Springer | The economics of non-market goods and resources, ISSN 1571-487X | 2015This book provides a comprehensive review of environmental benefit transfert methods, issues and challenges, covering topics relevant to researchers and practitioners.![]()
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There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R an[...]


