de Cooman, Gert

1. Updating beliefs with incomplete observations
   2003/05/27 by Gert de Cooman, de Cooman, Gert, Marco Zaffalon +1 · 2 citations
   Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Logic, Reasoning, and Knowledge #cs.AI
2. Sensitivity analysis for finite Markov chains in discrete time
   2014/08/09 by de Cooman, Gert, Hermans, Filip, Quaeghebeur, Erik · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
3. Coherent and Archimedean choice in general Banach spaces
   2020/02/13 by de Cooman, Gert · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
4. On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness
   2022/04/20 by Persiau, Floris, De Bock, Jasper, de Cooman, Gert · 1 citation
   #FOS: Mathematics #Probability (math.PR)
5. The logic behind desirable sets of things, and its filter representation
   2023/02/16 by Gert de Cooman, Arthur Van Camp, de Cooman, Gert +3 · 1 citation
   Decision Sciences · #Decision-Making and Behavioral Economics
6. Imprecise probability trees: Bridging two theories of imprecise probability
   2008/01/08 by de Cooman, Gert, Hermans, Filip · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR) #Statistics Theory (math.ST)
7. Monte Carlo Estimation for Imprecise Probabilities: Basic Properties
   2019/05/22 by Arne Decadt, Gert de Cooman, Decadt, Arne +3 · 1 citation
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Mathematics #Probability (math.PR) #Statistical Methods and Inference