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Convergence for step line processes under summation of random indicators and models of market pricing
Chuprunov A., Rusakov O.
for integrals of such random processes. We use our results to study a number of models of the financial market.
On the convergence in law of almost all sums of independent random variables
Chuprunov A.
Convergence of random step lines to Ornstein-Uhlenbeck-type processes
Chuprunov A., Fazekas I.
A central limit theorem for random fields
Fazekas I., Chuprunov A.
A central limit theorem is proved for α-mixing random fields. The sets of locations where
Convergence of Insurance Payout Stochastic Processes to Generalized Poisson Process
Chuprunov A., Permyakova E.
the size of a company’s insurance payouts in the case of a growing number of clients. Convergence
Strong laws of large numbers for random forests
Chuprunov A., Fazekas I.
Random forests are studied. A moment inequality and a strong law of large numbers are obtained
Almost sure versions of limit theorems for random sums of multiindex random variables
Chuprunov A., Terekhova L.
In this paper we obtain an almost sure version of a limit theorem for random sums of multiindex
Convergence for step line processes under summation of random indicators and models of market pricing
Chuprunov A., Rusakov O.
for integrals of such random processes. We use our results to study a number of models of the financial market.
On the Maximum Value of a Cell in a Specified Set of Cells for the Nonhomogeneous Generalized Allocation Scheme
Chickrin D.E., Chuprunov A.N., Kokunin P.A.
generalized allocation schemes we formulate conditions under which the maximum value of a cell of the first K
Almost sure versions of some analogues of the invariance principle
Chuprunov A., Fazekas I.

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