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of 29
pro vyhledávání: '"Nadezhda Gribkova"'
Autor:
Nadezhda Gribkova, Ričardas Zitikis
Publikováno v:
Risks, Vol 6, Iss 3, p 100 (2018)
Background, or systematic, risks are integral parts of many systems and models in insurance and finance. These risks can, for example, be economic in nature, or they can carry more technical connotations, such as errors or intrusions, which could be
Externí odkaz:
https://doaj.org/article/c7c76e3987114abeb26686d997e80956
Autor:
Nadezhda Gribkova
Publikováno v:
Athanor. 39:1-18
This paper examines the early works of Soviet conceptual performance art group Collective Actions, founded in 1976, and focuses on the way the group employed the concept of “emptiness” as a motif throughout its practice. Namely, I consider the 19
Autor:
Nadezhda Gribkova, Julia Vaingurt
Publikováno v:
Ab Imperio. 2021:121-135
Autor:
Ričardas Zitikis, Nadezhda Gribkova
Publikováno v:
Journal of Statistics and Management Systems. 23:1285-1304
Control systems are exposed to unintentional errors, deliberate intrusions, false data injection attacks, and various other disruptions. In this paper we propose, justify, and illustrate a rule of thumb for detecting, or confirming the absence of, su
Autor:
O. I. Dudkina, Nadezhda Gribkova
Publikováno v:
Vestnik St. Petersburg University, Mathematics. 53:282-286
A theorem on the strong law of large numbers for linear functions of concomitants (induced order statistics) for sequences of independent identically distributed two-dimensional random vectors is proved in this paper. The result complements previous
Publikováno v:
SSRN Electronic Journal.
Autor:
Nadezhda Gribkova, Ričardas Zitikis
Publikováno v:
METRON. 77:1-18
Systems are exposed to a variety of risks, including those known as background or systematic risks. Therefore, advanced economic, financial, and engineering models incorporate such risks, thus inevitably making the models more challenging to explore.
Autor:
Nadezhda Gribkova
Publikováno v:
Probability and Mathematical Statistics. 37:101-118
In this paper, we propose a new approach to the investigation of asymptotic properties of trimmed $L$-statistics and we apply it to the Cram\'{e}r type large deviation problem. Our results can be compared with ones in Callaert et al.(1982) -- the fir
Autor:
Nadezhda Gribkova
Publikováno v:
Communications in Statistics - Theory and Methods. 46:11918-11932
In this article, we establish Cramer-type moderate deviation results for (intermediate) trimmed means Tn = n− 1∑n − mni = kn + 1Xi: n, where Xi: n's are the order statistics corresponding to the first n observations in a sequence X1, X2, … of
Autor:
Nadezhda Gribkova, Ričardas Zitikis
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2051013
In statistical classification and machine learning, as well as in social and other sciences, a number of measures of association have been proposed for assessing and comparing individual classifiers, raters, as well as their groups. In this paper, we