This is the home page of SIPTA (Society for Imprecise Probability: Theories and Applications).

Here you can find information about the conferences and the schools that the Society organizes.

We also provide some sources for information about imprecise probabilities mantained by SIPTA.

A description of the Society, its aims, articles and executive committee is reported, too.

  • The Risk Institute is pleased to host the Ninth SIPTA summer school. The school will run from Monday to Friday, 13 - 17 July 2020. We warmly invite all the students and researchers in imprecise probability to participate. Refreshments, lunches and lodging for students will be provided. Find out more and pre-register here.

Past Announcements

New Papers in Imprecise Probability
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  • Combining Second-Order Belief Distributions with Qualitative Statements in Decision Analysis (pdf)
  • Characterization of a coherent upper conditional prevision as the Choquet integral with respect to its associated Hausdorff outer measure (pdf)
  • Notes on desirability and conditional lower previsions (pdf)
  • Belief functions combination without the assumption of independence of the information sources (pdf)
  • Likelihood-based inference for probabilistic graphical models: Some preliminary results (pdf)
  • Exchangeable lower previsions (pdf)
  • Imprecise Probabilities based on Generalized Intervals for System Reliability Assessment (pdf)
  • Bounding Uncertainty in Civil Engineering (pdf)
  • Building knowledge-based systems by credal networks: a tutorial (pdf)
  • Representing uncertainty on set-valued variables using belief functions (pdf)
  • Conditional models: coherence and inference through sequences of joint mass functions (pdf)
  • A study of Bayesian approximations of belief functions in the probability simplex (pdf)
  • Three alternative combinatorial formulations of the theory of evidence (pdf)
  • The geometry of consonant belief functions: simplicial complexes of possibility measures (pdf)
  • A consonant approximation of the product of independent consonant random sets (pdf)
  • Bayesian Estimation with Uncertain Parameters of Probability Density Functions (pdf)
  • State Estimation with Sets of Densities considering Stochastic and Systematic Errors (pdf)
  • Nonlinear Bayesian Estimation with Convex Sets of Probability Densities (pdf)
  • Reliable hidden Markov model filtering through coherent lower previsions (pdf)
  • Multiple model tracking by imprecise Markov trees (pdf)

Last update July 31, 2019 | webmaster