Contents of Volume 101
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- The equation for vibrations of a fixed string driven by a general stochastic measure
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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
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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
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O. D. Borysenko and D. O. Borysenko.
Theor. Probability and Math. Statist. 101 (2020), 39-50
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- Properties of strictly $𝜑$-sub-Gaussian quasi-shot-noise processes
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O. I. Vasylyk.
Theor. Probability and Math. Statist. 101 (2020), 51-65
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- Stationary limits of shot noise processes
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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I. K. Matsak.
Theor. Probability and Math. Statist. 101 (2020), 217-231
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- Differential and integral equations for jump random motions
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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
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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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