Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Gennady Samorodnitsky"'
Autor:
Gennady Samorodnitsky, Takashi Owada
Publikováno v:
Random Structures & Algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e7155a8013ecbc7b3a8f9f70e648421
https://doi.org/10.1002/rsa.21146
https://doi.org/10.1002/rsa.21146
Publikováno v:
Extremes. 25:199-227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e39a07f0a1345ce1abad1572b40eaa
https://doi.org/10.1007/s10687-021-00429-z
https://doi.org/10.1007/s10687-021-00429-z
Publikováno v:
2022 IEEE Information Theory Workshop (ITW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::714ffa5f508e37e3687019f239c736f9
https://doi.org/10.1109/itw54588.2022.9965820
https://doi.org/10.1109/itw54588.2022.9965820
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbbc47ebc52a0794b4539d41c64ba07
https://doi.org/10.1145/3511808.3557413
https://doi.org/10.1145/3511808.3557413
Publikováno v:
Proceedings of the National Academy of Sciences. 119
The spatial and temporal patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases and COVID-19 deaths in the United States are poorly understood. We show that variations in the cumulative reported cases and deaths by county, sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d934b702179886f2f900ad54c7b699d3
https://doi.org/10.1073/pnas.2209234119
https://doi.org/10.1073/pnas.2209234119
A surprising result of Pillai and Meng (2016) showed that a transformation $\sum_{j=1}^n w_j X_j/Y_j$ of two iid centered normal random vectors, $(X_1,\ldots, X_n)$ and $(Y_1,\ldots, Y_n)$, $n>1$, for any weights $0\leq w_j\leq 1$, $ j=1,\ldots, n$,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91025ebf89a6c509e5988d6ba5c68a61
Autor:
Gennady Samorodnitsky, Zaoli Chen
Publikováno v:
Journal of Theoretical Probability. 33:1894-1918
We study the extremes for a class of a symmetric stable random fields with long-range dependence. We prove functional extremal theorems both in the space of sup measures and in the space of cadlag functions of several variables. The limits in both ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d25416f77a451e84f5e329fe2674d7
https://doi.org/10.1007/s10959-019-00951-8
https://doi.org/10.1007/s10959-019-00951-8
Publikováno v:
WWW
The1 Jaccard similarity has been widely used in search and machine learning, especially in industrial practice. For binary (0/1) data, the Jaccard similarity is often called the “resemblance” and the method of minwise hashing has been the standar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13cc15b68b97fe75720ef2c426df1ba7
https://doi.org/10.1145/3442381.3449955
https://doi.org/10.1145/3442381.3449955
We consider a multi-armed bandit problem motivated by situations where only the extreme values, as opposed to expected values in the classical bandit setting, are of interest. We propose distribution free algorithms using robust statistics and charac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a96513f6dac7ed6eb66edc43d33cee9
Publikováno v:
Dehling, H G, Matsui, M, Mikosch, T V, Samorodnitsky, G & Tafakori, L 2020, ' Distance covariance for discretized stochastic processes ', Bernoulli, vol. 26, pp. 2758-2789 . https://doi.org/10.3150/20-BEJ1206
Bernoulli 26, no. 4 (2020), 2758-2789
Bernoulli 26, no. 4 (2020), 2758-2789
Given an iid sequence of pairs of stochastic processes on the unit interval we construct a measure of independence for the components of the pairs. We define distance covariance and distance correlation based on approximations of the component proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e051b7ecf66bf0bf8417effce661b6e6
https://doi.org/10.3150/20-bej1206
https://doi.org/10.3150/20-bej1206