Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Rostyslav Maiboroda"'
Autor:
Daniel Horbunov, Rostyslav Maiboroda
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 11, Iss 3, Pp 359-372 (2024)
Finite mixtures with different regression models for different mixture components naturally arise in statistical analysis of biological and sociological data. In this paper a model of mixtures with varying concentrations is considered in which the mi
Externí odkaz:
https://doaj.org/article/d54908a5085d4b5c8d76341ef8d47ccd
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 9, Iss 4, Pp 377-399 (2022)
In mixture with varying concentrations model (MVC) one deals with a nonhomogeneous sample which consists of subjects belonging to a fixed number of different populations (mixture components). The population which a subject belongs to is unknown, but
Externí odkaz:
https://doaj.org/article/3e8342d250594557a34bbb839d3dea50
Autor:
Olena Sugakova, Rostyslav Maiboroda
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 8, Iss 4, Pp 509-523 (2021)
Principal Component Analysis (PCA) is a classical technique of dimension reduction for multivariate data. When the data are a mixture of subjects from different subpopulations one can be interested in PCA of some (or each) subpopulation separately. I
Externí odkaz:
https://doaj.org/article/e5c2e87d921840a693dcf03bb32adde1
Autor:
Rostyslav Maiboroda, Olena Sugakova
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 6, Iss 4, Pp 495-513 (2019)
A general jackknife estimator for the asymptotic covariance of moment estimators is considered in the case when the sample is taken from a mixture with varying concentrations of components. Consistency of the estimator is demonstrated. A fast algorit
Externí odkaz:
https://doaj.org/article/e45a0cf015764ee5a56d439932b50f9b
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 5, Iss 2, Pp 225-245 (2018)
Confidence ellipsoids for linear regression coefficients are constructed by observations from a mixture with varying concentrations. Two approaches are discussed. The first one is the nonparametric approach based on the weighted least squares techniq
Externí odkaz:
https://doaj.org/article/aa9a9c0cd38246dca3e640e413e59cc5
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 2, Iss 4, Pp 343-353 (2015)
We consider a finite mixture model with varying mixing probabilities. Linear regression models are assumed for observed variables with coefficients depending on the mixture component the observed subject belongs to. A modification of the least-square
Externí odkaz:
https://doaj.org/article/3271c5b520f647659820422dce9233ff
Autor:
Alexey Doronin, Rostyslav Maiboroda
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 1, Iss 2, Pp 195-209 (2015)
A mixture with varying concentrations is a modification of a finite mixture model in which the mixing probabilities (concentrations of mixture components) may be different for different observations. In the paper, we assume that the concentrations ar
Externí odkaz:
https://doaj.org/article/91359f81e352436ead9db8dbe3ebf7ba
Publikováno v:
Proceedings of the 4th International Conference on Statistics: Theory and Applications.
Publikováno v:
Statistics in Transition. New Series. 12(2):331-344
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=462421
Publikováno v:
Modern Stochastics: Theory and Applications. :435-448