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
Volume 24, Number 2-3, May 2000
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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