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20082026
most citedImprecise Markov chains and their limit behaviour

77 citations · 201 across the 10 of their papers we have counts for

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math.PR2026

Relation between Hitting Times and Probabilities for Imprecise Markov Chains

Marco Sangalli, Erik Quaeghebeur, Thomas Krak

In the present paper, we investigate the relationship between hitting times and hitting probabilities in discrete-time imprecise Markov chains (IMCs). We define lower and upper hit…

math.PR2012★ 28 cited

Accept & Reject Statement-Based Uncertainty Models

Erik Quaeghebeur, Gert de Cooman, Filip Hermans

We develop a framework for modelling and reasoning with uncertainty based on accept and reject statements about gambles. It generalises the frameworks found in the literature based…

math.PR2009★ 59 cited

Exchangeability and sets of desirable gambles

Gert de Cooman, Erik Quaeghebeur

Sets of desirable gambles constitute a quite general type of uncertainty model with an interesting geometrical interpretation. We give a general discussion of such models and their…

math.PR2009★ 20 cited

Exchangeable lower previsions

Gert de Cooman, Erik Quaeghebeur, Enrique Miranda

We extend de Finetti's [Ann. Inst. H. Poincaré 7 (1937) 1--68] notion of exchangeability to finite and countable sequences of variables, when a subject's beliefs about them are mod…

math.PR2008

Exchangeable lower previsions

Gert de Cooman, Erik Quaeghebeur, Enrique Miranda

We extend de Finetti's (1937) notion of exchangeability to finite and countable sequences of variables, when a subject's beliefs about them are modelled using coherent lower previs…

math.PR2008★ 77 cited

Imprecise Markov chains and their limit behaviour

Gert de Cooman, Filip Hermans, Erik Quaeghebeur

When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This can be done by considerin…