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DISTRIBUTION-FREE CONTINUOUS BAYESIAN BELIEF NETS

2005; World Scientific; Linguagem: Inglês

10.1142/9789812703378_0022

1793-0723

Dorota Kurowicka, Roger Cooke,

Target Tracking and Data Fusion in Sensor Networks

Series on Quality, Reliability and Engineering StatisticsModern Statistical and Mathematical Methods in Reliability, pp. 309-322 (2005) No AccessDISTRIBUTION-FREE CONTINUOUS BAYESIAN BELIEF NETSD. KUROWICKA and R. M. COOKED. KUROWICKADelft Institute for Applied Mathematics, Delft University of Technology, Delft, The Netherlands and R. M. COOKEDelft Institute for Applied Mathematics, Delft Univeristy of Technology, Delft, The Netherlandshttps://doi.org/10.1142/9789812703378_0022Cited by:36 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: This paper introduces distribution-free continuous belief nets using the vine-copulae modeling approach. Nodes are associated with arbitrary continuous invertible distributions, influences are associated with (conditional) rank correlations and are realized by (conditional) copulae. 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