Zobrazeno 1 - 6
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pro vyhledávání: '"Natan T'Joens"'
Autor:
Jasper De Bock, Natan T'Joens
Publikováno v:
International Journal of Approximate Reasoning. 132:181-205
We study the limit behaviour of upper and lower bounds on expected time averages in imprecise Markov chains; a generalised type of Markov chain where the local dynamics, traditionally characterised by transition probabilities, are now represented by
Autor:
Natan T'Joens, Jasper De Bock
Publikováno v:
Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part II
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501426
IPMU (2)
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501426
IPMU (2)
Information Processing and Management of Uncertainty in Knowledge-Based Systems
We study the limit behaviour of upper and lower bounds on expected time averages in imprecise Markov chains; a generalised type of Markov chain where the local dynamics, traditionally characterised by transition probabilities, are now represented by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fdc8ca12d892ab9a303a59863d9b29a
http://arxiv.org/abs/2002.05661
http://arxiv.org/abs/2002.05661
Publikováno v:
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
Game-theoretic upper expectations are joint (global) probability models that mathematically describe the behaviour of uncertain processes in terms of supermartingales; capital processes corresponding to available betting strategies. Compared to (the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4cd4602e0ae363f675e6e590574485a
To model discrete-time finite-state uncertain processes, we argue for the use of a global belief model in the form of an upper expectation that is the most conservative one under a set of basic axioms. Our motivation for these axioms, which describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da22e01a0caf9f459f2ef180d1159708
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030297640
ECSQARU
Symbolic and Quantitative Approaches to Reasoning with Uncertainty-15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU
Symbolic and Quantitative Approaches to Reasoning with Uncertainty-15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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 take into account partially specified probabilities and other types of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1819f1e2da9b4bf7dd96eff8c568595
https://doi.org/10.1007/978-3-030-29765-7_38
https://doi.org/10.1007/978-3-030-29765-7_38
Publikováno v:
UNCERTAINTY MODELLING IN DATA SCIENCE
Advances in Intelligent Systems and Computing ISBN: 9783319975467
SMPS
Advances in Intelligent Systems and Computing ISBN: 9783319975467
SMPS
Kolmogorov’s axiomatic framework is the best-known approach to describing probabilities and, due to its use of the Lebesgue integral, leads to remarkably strong continuity properties. However, it relies on the specification of a probability measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b2527b68768a248eb1514a1ccaba47
http://arxiv.org/abs/1804.01980
http://arxiv.org/abs/1804.01980