Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Markovich, Natalia M."'
We propose a new threshold selection method for the nonparametric estimation of the extremal index of stochastic processes. The so-called discrepancy method was proposed as a data-driven smoothing tool for estimation of a probability density function
Externí odkaz:
http://arxiv.org/abs/2009.02318
We explore the dependence structure in the sampled sequence of large networks. We consider randomized algorithms to sample the nodes and study extremal properties in any associated stationary sequence of characteristics of interest like node degrees,
Externí odkaz:
http://arxiv.org/abs/1408.2529
Autor:
Markovich, Natalia M. *
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):5178-5183
Autor:
Markovich, Natalia M.
Publikováno v:
In IFAC PapersOnLine 2015 48(3):1296-1301
Autor:
Markovich, Natalia M., Stehlík, Milan
Publikováno v:
In IFAC Proceedings Volumes 2013 46(9):933-938
Autor:
Markovich, Natalia M.
Publikováno v:
In IFAC Proceedings Volumes 2013 46(9):922-927
Autor:
Markovich, Natalia M.
Publikováno v:
In Performance Evaluation January 2013 70(1):28-44
Autor:
Markovich, Natalia M.1 (AUTHOR) markovic@ipu.rssi.ru, Rodionov, Igor V.1 (AUTHOR)
Publikováno v:
Extremes. Sep2020, Vol. 23 Issue 3, p451-464. 14p.
Information spreading among nodes of directed random networks by means of the linear preferential attachment (PA) schemes and the well-known SPREAD algorithm is considered. The novelty of the paper is that schemes of the linear preferential attachmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4040cf1649d8b08f460e25758cd0dec
Autor:
Markovich, Natalia M., Krieger, Udo R.
Publikováno v:
In Computer Communications 2010 33 Supplement 1:S11-S21