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MATHEMATICS
Study of the bias of $N$-particle estimates of the Monte Carlo method in problems with particle interaction
G. A. Mikhailovab, G. Z. Lotovaab, S. V. Rogazinskiiab a Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
The paper gives a theoretical and numerical justification of the bias with the $O(1/N)$ order for the $N$-particle statistical estimates of the functionals of the solution of nonlinear kinetic equations for the model with interaction of particle trajectories. An estimate of the coefficient in the corresponding bias formula is obtained.
Keywords:
chaos propagation hypothesis, Monte Carlo method, Boltzmann equation, rarefied gas theory, SEIR epidemic model, single-particle density distribution, $N$-particle ensemble, $\delta$-continuity, Markov chain.
Received: 02.07.2024 Revised: 09.09.2024 Accepted: 19.07.2024
Citation:
G. A. Mikhailov, G. Z. Lotova, S. V. Rogazinskii, “Study of the bias of $N$-particle estimates of the Monte Carlo method in problems with particle interaction”, Dokl. RAN. Math. Inf. Proc. Upr., 519 (2024), 33–38; Dokl. Math., 110:2 (2024), 416–420
Linking options:
https://www.mathnet.ru/eng/danma562 https://www.mathnet.ru/eng/danma/v519/p33
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