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Cited article:

STUDY OF THE BIAS OF N-PARTICLE ESTIMATES OF THE MONTE CARLO METHOD IN PROBLEMS WITH PARTICLE INTERACTION

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Study of the Bias in Monte Carlo N-Particle Estimates for Problems with Particle Interaction

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Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models

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Numerical-statistical study of the prognostic efficiency of the SEIR model

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Viral Infection Dynamics Model Based on a Markov Process with Time Delay between Cell Infection and Progeny Production

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Spatially resolved modelling of immune responses following a multiscale approach: from computational implementation to quantitative predictions

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Russian Journal of Numerical Analysis and Mathematical Modelling 34 (5) 253 (2019)
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