Zobrazeno 1 - 10 of 22 pro vyhledávání: '"Yu. K. Belyaev"'
1
KOLMOGOROV STORIES
Autor: Yu. K. Belyaev, Asaf H. Hajiyev
Publikováno v: Probability in the Engineering and Informational Sciences. 35:355-368
Authors of this paper were educated and have spent many years in Lomonosov Moscow State University (MSU), in the Interfaculty Laboratory of Statistical Methods (ILSM). Prof. Yu. K. Belyaev was student of Kolmogorov, and for several years his deputy i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53ce98b882d4c1eb0d5a1d96dbafe698
https://doi.org/10.1017/s0269964819000494
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3
Asymptotically optimal choice of the smoothing parameter in a nonparametric kernel estimator for a probability density
Autor: O. V. Seleznev, Yu. K. Belyaev
Publikováno v: Journal of Mathematical Sciences. 75:1427-1434
This paper presents a method of estimation of an “optimal” smoothing parameter (window width) in kernel estimators for a probability density. The obtained estimator is calculated directly from observations. By “optimal” smoothing parameters w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2dfe0b2840d8e727630d65b6b692acc7
https://doi.org/10.1007/bf02362554
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5
R
Autor: L. A. Skornyakov, I. P. Mysovskikh, A. A. Talalyan, E. D. Solomentsev, A. G. Sveshnikov, V. A. Chuyanov, A. L. Shmel’kin, V. A. Andrunakievich, R. A. Minlos, K. Yu. Bulota, L. V. Kuz’min, M. P. Mineev, B. A. Sevast’yanov, N. N. Cnentsov, R. L. Dobrushin, V. V. Prelov, Yu. V. Prokhorov, A. M. Yaglom, V. F. Kolchin, V. I. Pagurova, A. A. Borovkov, M. S. Nikulin, T. Yu. Popova, O. A. Ivanova, V. L. Popov, V. E. Govorov, M. V. Fedoryuk, E. G. D’yakonov, K. P. Dolzhenko, Viktor S. Kulikov, D. Sullivan, L. D. Kudryavtsev, Val. S. Kulikov, A. S. Rapinchuk, A. V. Malyshev, C. Dellacherie, V. M. Babich, A. V. Prokhorov, N. Kh. Rozov, P. C. Fife, D. A. Gudkov, D. A. Ponomarev, V. E. Plisko, S. A. Stepanov, B. I. Golubov, S. N. Artemov, K. M. Millionshchikov, V. M. Millionshchikov, N. V. Belyakin, V. A. Dushskiĭ, P. J. Rousseeuw, V. K. Domanskiĭ, S. S. Goncharov, A. N. Degtev, S. G. Tankeev, V. N. Grishin, V. M. Millwnshchikov, D. V. Alekseevskiĭ, L. N. Shevrin, V. F. Turchin, A. V. Arkhangelskiĭ, E. B. Vinberg, E. P. Dolzhenko, N. N. Vil’yams, E. V. Solomentsev, V. A. Buevich, I. B. Vapnyarskiĭ, U. A. Vladimirov, N. N. Viil’yams, A. B. Ivanov, V. I. Danilov, L. N. Shevnn, A. P. Terekhin, Yu. S. Ilyashenko, A. V. Arkhangel Skiĭ, J. J. Volkov, V. P. Platonov, I. I. Volkov, V. Ya. Arsenin, A. N. Tikhonov, A. S. Mishchenko, A. P. Norden, A. V. Mikhalev, E. G. Sklyarenko, D. D. Sokolov, A. A. Ruzmaĭkin, E. S. Nikolaev, N. A. Karpova, S. V. Yablonskiĭ, Yu. K. Belyaev, B. V. Gnedenko, V. A. Sevast’yanov, S. A. Anikin, M. Sh. Tsalenko, A. L. Onishchik, A. N. Rudakov, C. M. Ringel, L. M. Gluskin, E. S. Lyapin, A. I. Shtern, A. V. Roĭter, N. M. Nagornyĭ, Yu. I. Merzlyakov, E. A. Golubov, A. P. Yuzhakov, V. I. Sobolev, L. V. Kuzmm, M. I. Voĭtseknovskiĭ, N. V. Butenin, A. D. Bryuno, I. V. Proskuryakov, A. M. Nakhushev, A. V. Arkhangel’skiĭ, V. S. Malakhovskiĭ, E. L. Tonkov, L. A. Sidorov, I. Kh. Sabitov, V. V. Shardurov, A. A. Konyushkov, F. D. Gakhov, V. A. Il’in, A. M. Nakhyshev, E. M. Chirka, T. P. Lykashenko, S. L. Krushkal’, Ü. Lumiste, V. A. Toponogov, Yu. D. Burago, A. D. Aleksandrov, V. N. Berestovskiĭ, V. M. Tikhomirov, T. P. Lukashenko, V. F. Emel’yanov, Yu. B. Rudyak, V. M. Kopytov, A. N. Parshin, Yu. A. Bakhturin, K. A. Zhevlakov
Publikováno v: Encyclopaedia of Mathematics ISBN: 9780792329763
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3cdd43676f4a9013832706d3f2834a90
https://doi.org/10.1007/978-1-4899-3791-9_6
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6
Unbiased Estimators (No. 38)
Autor: Yu. K. Belyaev, Ya. P. Lumel’skii
Publikováno v: Selected Works of A. N. Kolmogorov ISBN: 9789401050036
The notion of unbiased estimator is fundamental in mathematical statistics. Although this notion was known earlier, No. 38 gives the first systematic treatment of the properties of unbiased estimators and various methods for constructing them in term
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a847c0e2327a752ddc38f9a2df9c4bfa
https://doi.org/10.1007/978-94-011-2260-3_73
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8
Multidimensional Poisson walks
Autor: Yu. K. Belyaev, Ya. P. Lumen'skii
Publikováno v: Journal of Soviet Mathematics. 40:162-165
k-dimensional Poisson walks are considered. Giving stopping boundaries of the process of the walk defines a family of probability measures. A theorem letting one construct unbiased estimators for functions of an unknown vector parameter λ is proved.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d869b78ee3322e1c86e0d8f8e9bac25
https://doi.org/10.1007/bf01085105
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10
Local Properties of the Sample Functions of Stationary Gaussian Processes
Autor: Yu. K. Belyaev
Publikováno v: Theory of Probability & Its Applications. 5:117-120
In this paper some results are given, about properties of the sample functions of stationary Gaussian processes such as continuity and Holder conditions.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b4ceee68b8ea1dcf532b7b7bede1f721
https://doi.org/10.1137/1105011
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