Cancer-associated fibroblasts and their role in tumor progression von Ermakov, M S, Nushtaeva, A A, Richter, V A, Koval, O A

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Chi-Squared Test for Hypothesis Testing of Homogeneity von Ermakov, M. S.

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On Uniform Consistency of Nonparametric Tests. II von Ermakov, M. S.

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On Asymptotically Minimax Nonparametric Detection of Signal in Gaussian White Noise von Ermakov, M. S.

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On Uniform Consistency of Neyman’s Type Nonparametric Tests von Ermakov, M. S., Kapatsa, D. Yu

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Stochastic Computational Methods and Experiment Design von Ermakov, S. M., Melas, V. B.

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Separation of Roots of Systems of Nonlinear Equations. Stochastic Approach von Ermakov, S. M., Leora, S. N.

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Backward Iterations for Solving Integral Equations with Polynomial Nonlinearity von Ermakov, S. M., Surovikina, T. O.

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On Probabilities of Moderate Deviations of Empirical Measures for Contiguous Distributions von Ermakov, M. S.

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On randomization of Halton quasi-random sequences von Ermakov, S. M.

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On the Choice of Regression Basis Functions and Machine Learning von Ermakov, S. M., Leora, S. N.

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The Monte Carlo Method for Solving Large Systems of Linear Ordinary Differential Equations von Ermakov, S. M., Smilovitskiy, M. G.

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Monte Carlo Method for Solving ODE Systems von Ermakov, S. M., Tovstik, T. M.

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Breast Cancer Cells in 3D Model Alters Their Sensitivity to Hormonal and Growth Factors von Nushtaeva, A. A., Savinkova, M. M., Ermakov, M. S., Varlamov, M. E., Novak, D. D., Richter, V. A., Koval, O. A.

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Towards the Analysis of the simulated annealing method in the multiextremal case von Ermakov, S. M., Kulikov, D. V., Leora, S. N.

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On Monte Carlo methods in distributed memory systems von Ermakov, S. M., Trosinenko, A. V.

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On the partial synchronization of iterative methods von Dmitriev, A. V., Ermakov, S. M.

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On Asymptotically Efficient Statistical Inference for Moderate Deviation Probabilities von Ermakov, M. S.

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An extension of the Krylov method for calculating the coefficients of the minimal polynomial von Ermakov, S. M., Vidyaeva, K. O.

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Importance Sampling for Simulation of Large and Moderate Deviation Probabilities of Tests and Estimators von Ermakov, M. S.

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