activity
20082022
most citedSklar's Theorem in an Imprecise Setting

60 citations · 260 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2022

Nonlinear desirability theory

Enrique Miranda, Marco Zaffalon

Desirability can be understood as an extension of Anscombe and Aumann's Bayesian decision theory to sets of expected utilities. At the core of desirability lies an assumption of li…

cs.AI2017

Lexicographic choice functions

Arthur Van Camp, Gert de Cooman, Enrique Miranda

We investigate a generalisation of the coherent choice functions considered by Seidenfeld et al. (2010), by sticking to the convexity axiom but imposing no Archimedeanity condition…

math.PR2016★ 60 cited

Sklar's Theorem in an Imprecise Setting

Ignacio Montes, Enrique Miranda, Renato Pelessoni +1

Sklar's theorem is an important tool that connects bidimensional distribution functions with their marginals by means of a copula. When there is imprecision about the marginals, we…

cs.AI2015★ 22 cited

Desirability and the birth of incomplete preferences

Marco Zaffalon, Enrique Miranda

We establish an equivalence between two seemingly different theories: one is the traditional axiomatisation of incomplete preferences on horse lotteries based on the mixture indepe…

math.PR2014★ 5 cited

A geometric and game-theoretic study of the conjunction of possibility measures

Enrique Miranda, Matthias C. M. Troffaes, Sebastien Destercke

In this paper, we study the conjunction of possibility measures when they are interpreted as coherent upper probabilities, that is, as upper bounds for some set of probability meas…

cs.AI2014★ 41 cited

Conservative Inference Rule for Uncertain Reasoning under Incompleteness

Marco Zaffalon, Enrique Miranda

In this paper we formulate the problem of inference under incomplete information in very general terms. This includes modelling the process responsible for the incompleteness, whic…