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pro vyhledávání: '"Kasanický, Ivan"'
Autor:
Kasanický, Ivan
Title: Ensemble Kalman filter on high and infinite dimensional spaces Author: Mgr. Ivan Kasanický Department: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Daniel Hlubinka, Ph.D., Department of Probability and Mathemat
Externí odkaz:
http://www.nusl.cz/ntk/nusl-357742
Autor:
Kasanický, Ivan, Mandel, Jan
Bayesian inverse problem on an infinite dimensional separable Hilbert space with the whole state observed is well posed when the prior state distribution is a Gaussian probability measure and the data error covariance is a cylindric Gaussian measure
Externí odkaz:
http://arxiv.org/abs/1701.08298
Autor:
Kasanický, Ivan
Presented thesis deals with analysis of functional data. In the first part, problem which arises because of only finite possible numbers of observations is discussed. This problem is solved using representation by basis functions with emphasis on B-s
Externí odkaz:
http://www.nusl.cz/ntk/nusl-298773
Publikováno v:
Nonlinear Processes in Geophysics, 22, 485-497, 2015
A new type of ensemble Kalman filter is developed, which is based on replacing the sample covariance in the analysis step by its diagonal in a spectral basis. It is proved that this technique improves the aproximation of the covariance when the covar
Externí odkaz:
http://arxiv.org/abs/1501.00219
Publikováno v:
In Computers, Environment and Urban Systems September 2019 77
Autor:
Juruš, Pavel, Eben, Kryštof, Resler, Jaroslav, Krč, Pavel, Kasanický, Ivan, Pelikán, Emil, Brabec, Marek, Hošek, Jiří
Publikováno v:
In Solar Energy December 2013 98 Part C:255-264
Akademický článek
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Autor:
Kasanický, Ivan
Title: Ensemble Kalman filter on high and infinite dimensional spaces Author: Mgr. Ivan Kasanický Department: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Daniel Hlubinka, Ph.D., Department of Probability and Mathemat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2186::60b366bcd94b60bbd5658c025c0eab06
http://www.nusl.cz/ntk/nusl-357742
http://www.nusl.cz/ntk/nusl-357742
Autor:
Kasanický, Ivan
Presented thesis deals with analysis of functional data. In the first part, problem which arises because of only finite possible numbers of observations is discussed. This problem is solved using representation by basis functions with emphasis on B-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::77d1a75b99fed823392b25b356247c53
http://www.nusl.cz/ntk/nusl-472377
http://www.nusl.cz/ntk/nusl-472377