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    Journal: Int. J. Approx. Reasoning

    Volume 24, Issue 2-3

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

    Volume 24, Issue 1

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