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Improved Predictions of Lynx Trappings Using a Biological Model

2004; Wiley; Linguagem: Inglês

10.1002/0470090456.ch27

1940-6347

Cavan Reilly, Angelique Zeringue,

Genetic and phenotypic traits in livestock

Chapter 27 Improved Predictions of Lynx Trappings Using a Biological Model Cavan Reilly, Cavan ReillySearch for more papers by this authorAngelique Zeringue, Angelique Zeringue Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minn., USASearch for more papers by this author Cavan Reilly, Cavan ReillySearch for more papers by this authorAngelique Zeringue, Angelique Zeringue Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minn., USASearch for more papers by this author Book Editor(s):Andrew Gelman, Andrew Gelman Department of Statistics and Department of Political Science, Columbia University, New York, USASearch for more papers by this authorXiao-Li Meng, Xiao-Li Meng Department of Statistics, Harvard University, USASearch for more papers by this author First published: 23 July 2004 https://doi.org/10.1002/0470090456.ch27Citations: 3Book Series:Wiley Series in Probability and Statistics Series Editor(s): Walter A. Shewhart, Walter A. ShewhartSearch for more papers by this authorSamuel S. Wilks, Samuel S. WilksSearch for more papers by this author AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary This chapter contains sections titled: Introduction The current best model Biological models for predator prey systems Some statistical models based on the Lotka-Volterra system Computational aspects of posterior inference Posterior predictive checks and model expansion Prediction with the posterior mode Discussion Citing Literature Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family RelatedInformation