Résultat de la recherche
17 recherche sur le mot-clé
'STATISTIQUE BAYESIENNE' 


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rapport
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[...]![]()
ouvrage
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 [...]![]()
ouvrage
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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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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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[...]![]()
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S. Banerjee ; B. Carlin ; A. Gelfand | Boca Raton, Fla. : Chapman & Hall/CRC | Monographs on statistics and applied probability, 101. | 2004Presents a treatment of Bayesian methods, modeling, and data analysis for spatial and spatio-temporal data. This book includes overviews of the necessary background material, exercises, and brief tutorial on using SplusSpatialStats, geoR, and Wi[...]![]()
thèse/mémoire
Cette étude s'inscrit dans le contexte des recherches actuelles en hydrologie qui visent à intégrer les connaissances acquises par l'approche expérimentale dans la modélisation hydrologique. Le bassin-versant de la Haute-Mentue, situé à l'ouest [...]![]()
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Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future [...]