ISIPTA'07 - 
FIFTH INTERNATIONAL SYMPOSIUM ON 
 IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS
Charles University, Faculty of Mathematicsand Physics 
Prague,  Czech Republic
16-19 July  2007
LIST OF ACCEPTED 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  
 Ines 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