ISIPTA'07 -
FIFTH INTERNATIONAL SYMPOSIUM ON
IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS
Charles University, Faculty of Mathematicsand Physics
Prague, Czech Republic
16-19 July 2007
ELECTRONIC PROCEEDINGS
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proceedings.
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List of Papers
Credal networks for military identification problems
Alessandro Antonucci, Ralph Bruehlmann, Alberto Piatti, Marco Zaffalon
Uncertainty analysis in food engineering involving imprecision and randomness
Cedric Baudrit
Predicting the Next Pandemic: An Exercise in Imprecise Hazards
Mikelis Bickis, Ugis Bickis
Measuring Uncertainty with Imprecision Indices
Andrew Bronevich, Alexander Lepskiy
Inference in Credal Networks Through Integer Programming
Cassio Campos, Fabio Cozman
Credal Nets with Probabilities Estimated with an Extreme Imprecise Dirichlet Model
Andrés Cano, Manuel Gómez, Serafín Moral
Comparative Probability Orders and the Flip Relation
Marston Conder, Dominic Searles, Arkadii Slinko
Multinomial nonparametric predictive inference with sub-categories
Frank Coolen, Thomas Augustin
Jury size and composition - a predictive approach
Frank Coolen, Brett Houlding, Steven Parkinson
On various definitions of the variance of a fuzzy random variable
Inés Couso, Didier Dubois, Susana Montes, Luciano Sanchez
Independence concepts in evidence theory
Ines Couso
On coherent immediate prediction: Connecting two theories of imprecise probability
Gert De Cooman, Filip Hermans
Immediate prediction under exchangeability and representation insensitivity
Gert De Cooman, Enrique Miranda, Erik Quaeghebeur
Constructing Predictive Belief Functions from Continuous Sample Data Using Confidence Bands
Thierry Denoeux, Astride Aregui
Relating Imprecise Representations of imprecise Probabilities
Sebastien Destercke, Didier Dubois, Eric Chojnacki
Coherence and Fuzzy Reasoning
Serena Doria
Distributions over Expected Utilities in Decision Analysis
Love Ekenberg, Mats Danielson, Mikael Andersson, Aron Larsson
Multiparameter models: Probability distributions parameterized by random sets.
Thomas Fetz
An extension of chaotic probability models to real-valued variables
Pablo Fierens
Some results on imprecise conditional prevision assessments
Angelo Gilio, Veronica Biazzo
Data-Based Decisions under Imprecise Probability and Least Favorable Models
Robert Hable
Climbing the Hills of Compiled Credal Networks
Rolf Haenni
Quantile-Filtered Bayesian Learning for the Correlation Class
Hermann Held
On the Explanatory Power of Indeterminate Probabilities
Jeffrey Helzner, Horacio Arlo-Costa
Information Processing under Imprecise Risk with the Hurwicz criterion
Jean-Yves Jaffray, Meglena Jeleva
Compositional Models of Belief Functions
Radim Jirousek, Jirina Vejnarova, Milan Daniel
Enhancement of Natural Extension
Igor Kozine, Victor Krymsky
Updating and Testing Beliefs: An Open Version of Bayes' Rule
Elmar Kriegler
On sigma-additive robust representations of convex risk measures for unbounded financial positions in the presence of uncertainty of the market model
Volker Kräschmer
Estimating Probability Distributions by Observing Betting Practices
Caroline Lynch, Don Barry
An independence concept under plausibility function
Marcello Mastroleo, Barbara Vantaggi
Coherence graphs
Enrique Miranda, Marco Zaffalon
Entropy minimization and imprecise probabilities
Robert Nau, Robert Winkler, Victor Richmond Jose
Imprecise probability methods for sensitivity analysis in engineering
Michael Oberguggenberger, Julian King, Bernhard Schmelzer
Lucenos discretization methods and its application in decision making under ambiguity
Michael Obermeier, Thomas Augustin
Some Bounds for Conditional Lower Previsions
Renato Pelessoni, Paolo Vicig
Human reasoning with imprecise probabilities: Modus ponens and Denying the antecedent
Niki Pfeifer, Gernot Kleiter
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Alberto Piatti, Marco Zaffalon, Fabio Trojani, Hutter Marcus
Conditioning in Chaotic Probabilities Interpreted as a Generalized Markov Chain
Leandro Rego
Qualitative and Quantitative Reasoning in Hybrid Probabilistic Logic Programs
Emad Saad
Coherent Choice Functions under Uncertainty
Teddy Seidenfeld, Mark Schervish, Joseph Kadane
Multilinear and Integer Programming for Markov Decision Processes with Imprecise Probabilities
Ricardo Shirota Filho, Fabio Cozman, Felipe Trevizan, Cassio Campos, Leliane Barros
Regular finite Markov chains with interval probabilities
Damjan Škulj
Minimax Regret Treatment Choice with Finite Samples and Missing Outcome Data
Joerg Stoye
Finite Approximations To Coherent Choice
Matthias Troffaes
Computing expectations with p-boxes: two views of the same problem
Lev Utkin, Sebastien Destercke
Linear Regression Analysis under Sets of Conjugate Priors
Gero Walter, Thomas Augustin, Annette Peters
The Logical Concept of Probability: Foundation and Interpretation
Kurt Weichselberger