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» Computation with imprecise probabilities
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ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
ISIPTA
1999
IEEE
13 years 11 months ago
Implicative Analysis for Multivariate Binary Data using an Imprecise Dirichlet Model
Bayesian implicative analysis was proposed for summarizing the association in a 22 contingency table in terms possibly asymmetrical such as, e.g., presence of feature a implies, i...
Jean-Marc Bernard
ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
ISIPTA
1999
IEEE
114views Mathematics» more  ISIPTA 1999»
13 years 11 months ago
Lower Desirability Functions: A Convenient Imprecise Hierarchical Uncertainty Model
I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller's lower desirability for a gamble is defined as her...
Gert De Cooman
AAAI
2008
13 years 9 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu