ISIPTA'09 -
SIXTH INTERNATIONAL SYMPOSIUM ON
IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS
Durham University, Department of Mathematical Sciences
Durham, United Kingdom
Tuesday 14 to Saturday 18 July 2009
ABSTRACTS OF POSTERS AT ISIPTA'09
List of Abstracts
Towards a Notion of Credal Maximum Likelihood -- Imprecise Probability-based Mixed Models and Unobserved Heterogeneity
Thomas Augustin
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Application of Imprecise Probability Methods to the Support of Workforce Managerial Decisions.
Stanislav Belenkiy
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A hybrid method and its analysis based on Co-evolution for Classification
Guoqiang Cai
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Lazy Credal Classifier and how to compare credal classifiers
Giorgio Corani, Marco Zaffalon
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Applying imprecise probabilities to radioactive waste repository siting
Francisco De Lemos, Lamartine Guimarães, Fabio Cozman, Joao Pujol
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Nonparametric Predictive Inference for Acceptance Sampling with Destructive Tests
Mohamed Elsaeiti, Frank Coolen
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Some Incoherencies Resulting from Minimal Information Methods
Haim Gaifman, Anubav Vasudevan
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Directionally convex ordering in multidimensional jump diffusions models
Toufik Guendouzi
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Efficient Computing of a Least Favorable Pair for Two Hypothesis of Probability Intervals
Martin Gümbel
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Flood defence infrastructure investment decisions using an imprecise probability model of mean sea level rise
Jim Hall
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A Worst-Case Bound Analysis for Nonignorable Missing Data
Masayuki Henmi
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Partially Identified Prevalence Estimation under Misclassification using the Kappa-Coefficient
Anne Kunz, Thomas Augustin, Helmut Küchenhoff
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Nonparametric Predictive System Reliability with Redundancy Allocation
Iain MacPhee, Frank Coolen, Ahmad Aboalkhair
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Inference with Imprecise Measures for Systems Performance Management
Emad Marashi, John Peter Davis
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Explanation in Bayesian and Credal Networks
Alberto Piatti, Alessandro Antonucci, Marco Zaffalon
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Probabilistic DescriptionLogics for Context Awareness in Mobile Robotics: A Case Study in Imprecisely Specified Probabilities
Rodrigo Polastro, Fabio Cozman
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Eliciting Density Ratio Class Priors
Simon-Lukas Rinderknecht, Mark Borsuk, Peter Reichert
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IP theory based on Proper Scoring Rules
Teddy Seidenfeld, Mark Schervish, Joseph Kadane
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A constrained optimization problem under uncertainty
Keivan Shariatmadar, Erik Quaeghebeur, Gert De Cooman
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Solving Decision Trees with Imprecise Probabilities through Linear Programming
Ricardo Shirota Filho, Daniel Kikuti, Fabio Cozman
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Software for generalized Bayesian Inference - An object-oriented R implementation of generalized iLUCK-models
Gero Walter
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