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IJAR
2008
119views more  IJAR 2008»
11 years 8 months ago
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications
We consider here the case where our knowledge is partial and based on a betting density function which is n-dimensional Gaussian. The explicit formulation of the least committed b...
Francois Caron, Branko Ristic, Emmanuel Duflos, Ph...
IJAR
2008
140views more  IJAR 2008»
11 years 9 months ago
Financial risk measurement with imprecise probabilities
Although financial risk measurement is a largely investigated research area, its relationship with imprecise probabilities has been mostly overlooked. However, risk measures can b...
Paolo Vicig
IJAR
2008
83views more  IJAR 2008»
11 years 10 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
IJAR
2008
76views more  IJAR 2008»
11 years 10 months ago
Evidence and scenario sensitivities in naive Bayesian classifiers
Empirical evidence shows that naive Bayesian classifiers perform quite well compared to more sophisticated network classifiers, even in view of inaccuracies in their parameters. I...
Silja Renooij, Linda C. van der Gaag
IJAR
2008
49views more  IJAR 2008»
11 years 10 months ago
Logics from Galois connections
Jouni Järvinen, Michiro Kondo, Jari Kortelain...
IJAR
2008
99views more  IJAR 2008»
11 years 10 months ago
Unifying practical uncertainty representations. II: Clouds
There exist many tools for capturing imprecision in probabilistic representations. Among them are random sets, possibility distributions, probability intervals, and the more recen...
Sébastien Destercke, Didier Dubois, Eric Ch...
IJAR
2008
155views more  IJAR 2008»
11 years 10 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
IJAR
2008
74views more  IJAR 2008»
11 years 10 months ago
Unifying practical uncertainty representations - I: Generalized p-boxes
Abstract. There exist several simple representations of uncertainty that are easier to handle than more general ones. Among them are random sets, possibility distributions, probabi...
Sébastien Destercke, Didier Dubois, Eric Ch...
IJAR
2008
116views more  IJAR 2008»
11 years 10 months ago
Portfolio management under epistemic uncertainty using stochastic dominance and information-gap theory
Portfolio management in finance is more than a mathematical problem of optimizing performance under risk constraints. A critical factor in practical portfolio problems is severe u...
Daniel Berleant, L. Andrieu, Jean-Philippe Argaud,...
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