Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Panagiota Birmpa"'
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 9:1457-1498
We present an information-based uncertainty quantification method for general Markov Random Fields. Markov Random Fields (MRF) are structured, probabilistic graphical models over undirected graphs, and provide a fundamental unifying modeling tool for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b09bf268b42c0b3ba79d3f3be463fc87
https://doi.org/10.1137/20m1374614
https://doi.org/10.1137/20m1374614
Probabilistic graphical models are a fundamental tool in probabilistic modeling, machine learning and artificial intelligence. They allow us to integrate in a natural way expert knowledge, physical modeling, heterogeneous and correlated data and quan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66f73f4fa9c94dfc91e43f5e8c72b51a
http://arxiv.org/abs/2107.08179
http://arxiv.org/abs/2107.08179
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030697839
We study the density fluctuation field for the stirring process with births and deaths at two sites at the boundary which tend to impose a current into the system. Assuming correlation estimates (to be proved in a companion paper [2]) we derive an eq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a51ba8211a352861ce2e2608c461181
https://doi.org/10.1007/978-3-030-69784-6_5
https://doi.org/10.1007/978-3-030-69784-6_5