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.

Announcements
  • The ISIPTA '11 conference will be held in Innsbruck, Austria, during 25-28 July 2011. More info here.

  • The fourth SIPTA School on Imprecise Probabilities will be held in Durham, UK, during 1-6 September 2010. More info here.

  • The Department of Mathematical Sciences, Durham University, organizes a workshop on principles and methods of statistical inference with interval probability, jointly with the interval probability research group of Ludwig-Maximilians University of Munich. The workshop runs from Monday 6 September until Friday 10 September 2010. More info here.

  • The russian version of Vladimir Kuznetsov's book Interval Statistical Models is available for download. More information about this book here.

New Papers in Imprecise Probability (read more, subscribe RSS )
  • 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 9 October 2009 | webmaster