Disjoint systems over set ideals (On a generalization of the usual conception of almost disjoint set systems)
Géza Fodor, Attila Máté (1968)
Fundamenta Mathematicae
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Géza Fodor, Attila Máté (1968)
Fundamenta Mathematicae
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I. Kátai, P. Liardet (2001)
Acta Arithmetica
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Bakkari, Chahrazade, Mahdou, Najib (2009)
Beiträge zur Algebra und Geometrie
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Michael Drmota, Peter J. Grabner, Pierre Liardet (2008)
Acta Arithmetica
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Nicolas Durrande, David Ginsbourger, Olivier Roustant (2012)
Annales de la faculté des sciences de Toulouse Mathématiques
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Gaussian Process models are often used for predicting and approximating expensive experiments. However, the number of observations required for building such models may become unrealistic when the input dimension increases. In oder to avoid the curse of dimensionality, a popular approach in multivariate smoothing is to make simplifying assumptions like additivity. The ambition of the present work is to give an insight into a family of covariance kernels that allows combining the features...
Kumar, Rajendra (2006)
Journal of Applied Mathematics and Decision Sciences
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Papanikolaou, V., Plataniotis, K. N., Venetsanopoulos, A. N. (1999)
Mathematical Problems in Engineering
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Xu Sun, Jinqiao Duan, Xiaofan Li, Xiangjun Wang (2015)
Banach Center Publications
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The Kalman filter is extensively used for state estimation for linear systems under Gaussian noise. When non-Gaussian Lévy noise is present, the conventional Kalman filter may fail to be effective due to the fact that the non-Gaussian Lévy noise may have infinite variance. A modified Kalman filter for linear systems with non-Gaussian Lévy noise is devised. It works effectively with reasonable computational cost. Simulation results are presented to illustrate this non-Gaussian filtering...
Pathmanabhan, A., Dinesh, S. (2007)
Discrete Dynamics in Nature and Society
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Renze, John, Wagon, Stan, Wick, Brian (2001)
Experimental Mathematics
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Wang, Xingyuan, Jia, Ruihong, Sun, Yuanyuan (2009)
Discrete Dynamics in Nature and Society
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J. Vukman, M. Bresar, J. Skarabot (1993)
Aequationes mathematicae
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Roger Crocker (1969)
Colloquium Mathematicae
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Rovskiĭ, V.A. (2004)
Zapiski Nauchnykh Seminarov POMI
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Elchanan Mossel, Joe Neeman (2015)
Journal of the European Mathematical Society
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We prove that under the Gaussian measure, half-spaces are uniquely the most noise stable sets. We also prove a quantitative version of uniqueness, showing that a set which is almost optimally noise stable must be close to a half-space. This extends a theorem of Borell, who proved the same result but without uniqueness, and it also answers a question of Ledoux, who asked whether it was possible to prove Borell’s theorem using a direct semigroup argument. Our quantitative uniqueness result...