The results in this paper add useful tools to the theory of sets of desirable gambles, a growing toolbox for reasoning with partial probability assessments. We investigate how to combine a number of marginal coherent sets of desirable gambles into a joint set using the properties of epistemic irrelevance and independence. We provide formulas for the smallest such joint, called their independent natural extension, and study its main properties. The independent natural extension of maximal coherent sets of desirable gambles allows us to define the strong product of sets of desirable gambles. Finally, we explore an easy way to generalise these results to also apply for the conditional versions of epistemic irrelevance and independence. Having ...
Abstract. We detail the relationship between sets of desirable gambles and conditional lower previsi...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
We study the representation of sets of desirable gambles by sets of probability mass functions. Sets...
The results in this paper add useful tools to the theory of sets of desirable gambles, a growing too...
We investigate how to combine a number of marginal coherent sets of desirable gambles into a joint s...
AbstractThere is no unique extension of the standard notion of probabilistic independence to the cas...
AbstractThe theory of sets of desirable gambles is a very general model which covers most of the exi...
ABSTRACT. There is no unique extension of the standard notion of probabilistic indepen-dence to the ...
We investigate epistemic independence for choice functions in a multivariate setting. This work is a...
AbstractNumerical possibility measures can be interpreted as systems of upper betting rates for even...
We introduce an independence notion for choice functions, which we call ‘epistemic independence’ fol...
In most of the cases, imprecise probability is represented by means of probability intervals, upper ...
AbstractAt the foundations of probability theory lies a question that has been open since de Finetti...
We present a new approach to credal networks, which are graphical models that generalise Bayesian ne...
Abstract. We detail the relationship between sets of desirable gambles and conditional lower previsi...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
We study the representation of sets of desirable gambles by sets of probability mass functions. Sets...
The results in this paper add useful tools to the theory of sets of desirable gambles, a growing too...
We investigate how to combine a number of marginal coherent sets of desirable gambles into a joint s...
AbstractThere is no unique extension of the standard notion of probabilistic independence to the cas...
AbstractThe theory of sets of desirable gambles is a very general model which covers most of the exi...
ABSTRACT. There is no unique extension of the standard notion of probabilistic indepen-dence to the ...
We investigate epistemic independence for choice functions in a multivariate setting. This work is a...
AbstractNumerical possibility measures can be interpreted as systems of upper betting rates for even...
We introduce an independence notion for choice functions, which we call ‘epistemic independence’ fol...
In most of the cases, imprecise probability is represented by means of probability intervals, upper ...
AbstractAt the foundations of probability theory lies a question that has been open since de Finetti...
We present a new approach to credal networks, which are graphical models that generalise Bayesian ne...
Abstract. We detail the relationship between sets of desirable gambles and conditional lower previsi...
This paper introduces the nolions of independence and conditional independence in valuation-based sy...
We study the representation of sets of desirable gambles by sets of probability mass functions. Sets...