Contents of Volume 101

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The equation for vibrations of a fixed string driven by a general stochastic measure

I. M. Bodnarchuk and V. M. Radchenko.
Theor. Probability and Math. Statist. 101 (2020), 1-11
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Improved local approximation for multidimensional diffusions: The G-rates

S. Bodnarchuk, D. Ivanenko, A. Kohatsu-Higa and A. Kulik.
Theor. Probability and Math. Statist. 101 (2020), 13-38
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Asymptotic behavior of a solution of the non-autonomous logistic stochastic differential equation

O. D. Borysenko and D. O. Borysenko.
Theor. Probability and Math. Statist. 101 (2020), 39-50
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Properties of strictly $\varphi$-sub-Gaussian quasi-shot-noise processes

O. I. Vasylyk.
Theor. Probability and Math. Statist. 101 (2020), 51-65
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Stationary limits of shot noise processes

G. K. Verovkin and A. V. Marynych.
Theor. Probability and Math. Statist. 101 (2020), 67-83
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Estimates of stability of transition probabilities for non-homogeneous Markov chains in the case of the uniform minorization

V. V. Golomozyĭ.
Theor. Probability and Math. Statist. 101 (2020), 85-101
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Bounded in the mean of order $p$ solutions of a difference equation with a jump of the operator coefficient

M. F. Gorodnii and I. V. Gonchar.
Theor. Probability and Math. Statist. 101 (2020), 103-108
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Testing hypotheses for measures with different masses: Four optimization problems

A. A. Gushchin and S. S. Leshchenko.
Theor. Probability and Math. Statist. 101 (2020), 109-117
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The Wold decomposition of Hilbertian periodically correlated processes

A. Zamani, Z. Sajjadnia and M. Hashemi.
Theor. Probability and Math. Statist. 101 (2020), 119-127
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Asymptotic properties of periodogram estimators in the trigonometric model for observations on the plane

O. V. Ivanov and O. V. Lymar.
Theor. Probability and Math. Statist. 101 (2020), 129-151
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Conditions for the sample continuity with probability one for square-Gaussian stochastic processes

Yu. V. Kozachenko and I. V. Rozora.
Theor. Probability and Math. Statist. 101 (2020), 153-166
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On the asymptotic merging of the set of nodes in stochastic networks

E. O. Lebedev and G. V. Livinska.
Theor. Probability and Math. Statist. 101 (2020), 167-177
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Tests of hypotheses on quantiles of distributions of components in a mixture

R. E. Maĭboroda and O. V. Sugakova.
Theor. Probability and Math. Statist. 101 (2020), 179-191
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Minimization of the entropy for a mixture of standard and fractional Brownian motions

V. I. Makogin, Yu. S. Mishura and G. S. Zheleznyak.
Theor. Probability and Math. Statist. 101 (2020), 193-215
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A limit theorem for extreme values of discrete random variables and its applications

I. K. Matsak.
Theor. Probability and Math. Statist. 101 (2020), 217-231
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Differential and integral equations for jump random motions

A. O. Pogorui and R. M. Rodríguez-Dagnino.
Theor. Probability and Math. Statist. 101 (2020), 233-242
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Coupling and ergodic theorems for Markov chains with damping component

D. Silvestrov, S. Silvestrov, B. Abola, P. S. Biganda, C. Engström, J. M. Mango and G. Kakuba.
Theor. Probability and Math. Statist. 101 (2020), 243-264
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