International Journal of Approximate Reasoning, Volume 24

Volume 24, Number 1, April 2000

Ramón Sangüesa, Ulises Cortés:
New perspectives on Causal Networks: the first CaNew workshop. 1-10
Luis M. de Campos, Juan F. Huete:
A new approach for learning belief networks using independence criteria. 11-37
Robert Castelo, Arno Siebes:
Priors on network structures. Biasing the search for Bayesian networks. 39-57
Armelle Fay, Jean-Yves Jaffray:
A justification of local conditioning in Bayesian networks. 59-81
Beatriz Lacruz, Pilar Lasala, Alberto Lekuona:
Graphical dynamic linear models: specification, use and graphical transformations. 83-102
Ramón Sangüesa, Ulises Cortés:
Prior knowledge for learning networks in non-probabilistic settings. 103-120

Fabio Gagliardi Cozman, Serafín Moral:
Reasoning with imprecise probabilities. 121-123
Peter Walley:
Towards a unified theory of imprecise probability. 125-148
Kurt Weichselberger:
The theory of interval-probability as a unifying concept for uncertainty. 149-170
Pierre Hansen, Brigitte Jaumard, Marcus Poggi de Aragão, Fabien Chauny, Sylvain Perron:
Probabilistic satisfiability with imprecise probabilities. 171-189
Fabio Gagliardi Cozman:
Computing posterior upper expectations. 191-205
Andrea Capotorti, Barbara Vantaggi:
Axiomatic characterization of partial ordinal relations. 207-219
Sujoy Mukerji:
A survey of some applications of the idea of ambiguity aversion in economics. 221-234
Paolo Vicig:
Epistemic independence for imprecise probabilities. 235-250
Veronica Biazzo, Angelo Gilio:
A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments. 251-272
Dieter Denneberg:
Totally monotone core and products of monotone measures. 273-281
Alain Chateauneuf, Jean-Christophe Vergnaud:
Ambiguity reduction through new statistical data. 283-299

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