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Additive bayesian networks for multivariate data: parameter learning, model fitting and applications in veterinary epidemiology


Pittavino, Marta. Additive bayesian networks for multivariate data: parameter learning, model fitting and applications in veterinary epidemiology. 2016, University of Zurich, Faculty of Science.

Abstract

Veterinary epidemiology, one of the multifaceted applications of statistics, primarily aims to investigate hypothesized relationships between covariates or predictors of interest and one, or more, outcome variables. Commonly, the biological processes, which generated the data, are extremely complex, resulting in multiple dependencies between explanatory and response variables. Standard epidemiological and statistical approaches have shown a limited ability to sufficiently describe such inter-dependent multivariate connections. The following work extends and improves a methodology that addresses these issues: additive Bayesian networks (ABNs). ABNs are types of graphical model that extend the usual Generalized Linear Model (GLM) to multiple dependent variables through the representation of their joint probability.

Abstract

Veterinary epidemiology, one of the multifaceted applications of statistics, primarily aims to investigate hypothesized relationships between covariates or predictors of interest and one, or more, outcome variables. Commonly, the biological processes, which generated the data, are extremely complex, resulting in multiple dependencies between explanatory and response variables. Standard epidemiological and statistical approaches have shown a limited ability to sufficiently describe such inter-dependent multivariate connections. The following work extends and improves a methodology that addresses these issues: additive Bayesian networks (ABNs). ABNs are types of graphical model that extend the usual Generalized Linear Model (GLM) to multiple dependent variables through the representation of their joint probability.

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Additional indexing

Item Type:Dissertation
Referees:Furrer Reinhard, Fraser Lewis, Held Leonhard, Torgerson Paul
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Language:English
Date:2016
Deposited On:27 Oct 2016 10:48
Last Modified:27 Oct 2016 10:48
Number of Pages:236
Related URLs:http://www.recherche-portal.ch/ZAD:default_scope:ebi01_prod010723438 (Library Catalogue)

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