Zobrazeno 1 - 10
of 33
pro vyhledávání: '"M. S. Ermakov"'
Publikováno v:
Вавиловский журнал генетики и селекции, Vol 26, Iss 1, Pp 14-21 (2022)
The stromal elements of a malignant tumor can promote cancer progression and metastasis. The structure of the tumor stroma includes connective tissue elements, blood vessels, nerves, and extracellular matrix (ECM). Some of the cellular elements of th
Externí odkaz:
https://doaj.org/article/15c013a8637a4ee8b3ed039b93ee92f5
Autor:
A. A. Nushtaeva, M. M. Savinkova, M. S. Ermakov, M. E. Varlamov, D. D. Novak, V. A. Richter, O. A. Koval
Publikováno v:
Cell and Tissue Biology. 16:555-567
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd48d8b7c366f192977eb2c709b5a08
https://doi.org/10.1134/s1990519x22060050
https://doi.org/10.1134/s1990519x22060050
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 268:629-642
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::117ca9ba0179c52bcc5ff8ff2e5fb591
https://doi.org/10.1007/s10958-022-06233-9
https://doi.org/10.1007/s10958-022-06233-9
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 258:802-837
For widespread nonparametric tests, we point out necessary and sufficient conditions of uniform consistency for nonparametric sets of alternatives. Nonparametric sets of alternatives can be defined both in terms of distribution functions and in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e0bb8c888788e4bca58a6232a3e451f
https://doi.org/10.1007/s10958-021-05582-1
https://doi.org/10.1007/s10958-021-05582-1
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 244:779-788
We study nonparametric estimation of a signal in Gaussian white noise on maxisets. We point out minimax estimators in the class of all linear estimators and strong asymptotically minimax estimators in the class of all estimators. We show that balls i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eeb97c4907c3280ba8dc32647cafabf
https://doi.org/10.1007/s10958-020-04651-1
https://doi.org/10.1007/s10958-020-04651-1
Autor:
V. E.A. Kotelnikova, D. E. Pantyukhova, F. D. Ablyamitova, S. N. Vikinskaya, Kh. U. Khalilova, L. F. Mustafaeva, D. A. Barieva, D. V. Yarovaya, N. D. Chopik, M. S. Ermakova, L. E. Sorokina
Publikováno v:
Акушерство, гинекология и репродукция, Vol 18, Iss 2, Pp 167-179 (2024)
Aim: to assess the molecular mechanisms in developing various clinical phenotypes of preeclampsia (PE) by analyzing specific placental tissue transcriptome patterns. Materials and Methods. The prospective observational comparative study in parallel g
Externí odkaz:
https://doaj.org/article/8c8365f0f8d44cb5a2c26e030d429d90
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 229:671-677
The large deviation principle for moderate deviation probabilities of empirical measures for contiguous distributions is proved.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b3aacac6d1eefe19bff7ed0bcafff26
https://doi.org/10.1007/s10958-018-3706-3
https://doi.org/10.1007/s10958-018-3706-3
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 225:751-769
We study natural links between various types of consistency: usual consistency, strong consistency, uniform consistency, and pointwise consistency. On the base of these results, we provide both sufficient conditions and necessary conditions for the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655ee0d8a1f6c4ae24c3a9f1666cf5d1
https://doi.org/10.1007/s10958-017-3491-4
https://doi.org/10.1007/s10958-017-3491-4
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 214:474-483
The Large Deviation Principle is proved for the conditional probabilities of moderate deviations of weighted empirical bootstrap measures with respect to a fixed empirical measure. Using this LDP for the problem of calculation of moderate deviation p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f26d544987091dcd80d2a44b239f1007
https://doi.org/10.1007/s10958-016-2791-4
https://doi.org/10.1007/s10958-016-2791-4
Autor:
M. S. Ermakov
Publikováno v:
Journal of Mathematical Sciences. 204:90-115
We prove two Large Deviation Principles (LDP) in the zone of moderate deviation probabilities. First we establish the LDP for conditional distributions of moderate deviations of empirical bootstrap measures given an empirical probability measure. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2904956370489028a6ccbe9e01513aee
https://doi.org/10.1007/s10958-014-2189-0
https://doi.org/10.1007/s10958-014-2189-0