Tractable bounds on path-wise averages of general stochastic processes: harnessing the power of imprecise Markov chains

Doctoral project Jasper De Bock

Decision making under uncertainty with imprecise probabilities

Imprecise Probabilities in Algorithmic Randomness

Applying imprecise probabilities to stochastic processes

Continuous-Time Imprecise-Markov Chains: Theory and Algorithms

Decision-theoretic foundations of quantum mechanics

Doctoral project Arne Decadt

Doctoral project Stavros Lopatatzidis

Upper Expectations for Discrete-Time Imprecise Stochastic Processes: In Practice, They Are All the Same!

: BOF-TT-professorship in modeling, reasoning and decision under uncertainty

BOF-ZAP-professorship in Modeling, reasoning and decision making under uncertainty

Efficient inference in large-scale queueing models using imprecise continuous-time Markov chains

Imprecise random sequences and their statistical estimation

Imprecise random sequences and their statistical estimation.

Modelling Uncertainty with Imprecise Probabilities

Rational decision making under uncertainty: a new paradigm based on choice functions.

Theoretical aspects of and computational methods for imprecise Markov processes

Imprecise continuous-time Markov chains

Algorithms for reasoning in credal trees

: BOF-TT-professorship in modeling, reasoning and decision under uncertainty

BOF-ZAP-professorship in Modeling, reasoning and decision making under uncertainty

Developing the next generation of robust Bayesian networks: theory and efficient inference algorithms for mixed credal networks