Markovian imprecise jump processes: extension to measurable variables, convergence theorems and algorithms
From MaRDI portal
Publication:2152515
DOI10.1016/j.ijar.2022.05.006OpenAlexW4281398841WikidataQ113872773 ScholiaQ113872773MaRDI QIDQ2152515
Jasper De Bock, Alexander Erreygers
Publication date: 8 July 2022
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2022.05.006
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems
- The limit behaviour of imprecise continuous-time Markov chains
- Notes on conditional previsions
- Efficient computation of the bounds of continuous time imprecise Markov chains
- Coherent statistical inference and Bayes theorem
- Finitely additive conditional probabilities, conglomerability and disintegrations
- Non-additive measure and integral
- Kolmogorov-type and general extension results for nonlinear expectations
- Probability theory. Edited by K. A. Borovkov. Transl. from the Russian by O. Borovkova and P. S. Ruzankin
- Average behaviour in discrete-time imprecise Markov chains: a study of weak ergodicity
- Bounding inferences for large-scale continuous-time Markov chains: a new approach based on lumping and imprecise Markov chains
- Full conglomerability
- Imprecise probability trees: bridging two theories of imprecise probability
- Imprecise continuous-time Markov chains
- Nonlinear expectations and nonlinear Markov chains
- Brownian Motion, Martingales, and Stochastic Calculus
- Measures, Integrals and Martingales
- Theory of Probability
- Lower Previsions
- Introduction to Modeling and Analysis of Stochastic Systems
- IMPRECISE MARKOV CHAINS AND THEIR LIMIT BEHAVIOR
- Finitely additive conditional probabilities
- Markov Chains
- Markov chains under nonlinear expectation
This page was built for publication: Markovian imprecise jump processes: extension to measurable variables, convergence theorems and algorithms