3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains
Natan T'Joens, Thomas Krak, Jasper De Bock +1
We present an algorithm that can efficiently compute a broad class of inferences for discrete-time imprecise Markov chains, a generalised type of Markov chains that allows one to t…
First Steps Towards an Imprecise Poisson Process
Alexander Erreygers, Jasper De Bock
The Poisson process is the most elementary continuous-time stochastic process that models a stream of repeating events. It is uniquely characterised by a single parameter called th…
An efficient algorithm for estimating state sequences in imprecise hidden Markov models
Jasper De Bock, Gert de Cooman
We present an efficient exact algorithm for estimating state sequences from outputs (or observations) in imprecise hidden Markov models (iHMM), where both the uncertainty linking o…
Credal nets under epistemic irrelevance
Jasper De Bock, Gert de Cooman
We present a new approach to credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. Instead of applying the commonly used notion of strong…