Statistics for stochastic processes: study aid

Bibliographic Details
Corporate Author: National Research Tomsk Polytechnic University (570)
Other Authors: Semenov M. E. Mikhail Evgenievich (составитель), Fedorov G. V. Gleb Vladimirovich
Summary:The study aid discusses the basic concepts of stochastic processes. Numerical schemes for solving stochastic differential equations are presented, parametric and non-parametric approaches for identifying model parameters are briefly considered, as well as techniques for reducing variation in Monte Carlo simulations and criteria for choosing the best model. All sections of the study aid include practical problems for solving in R/Python language. The study aid is based on the course "Statistics for stochastic processes" and can be useful for students of direction of training 01.03.02, 01.04.02 "Applied Mathematics and Computer Science".
Language:Russian
Published: Tomsk, TPU Publishing House, 2023
Subjects:
Format: Book
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=684342

MARC

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200 1 |a Statistics for stochastic processes  |d Статистика случайных процессов  |e study aid  |f Tomsk Polytechnic University ; draftsmen M. E. Semenov, G. V. Fedorov  
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330 |a The study aid discusses the basic concepts of stochastic processes. Numerical schemes for solving stochastic differential equations are presented, parametric and non-parametric approaches for identifying model parameters are briefly considered, as well as techniques for reducing variation in Monte Carlo simulations and criteria for choosing the best model. All sections of the study aid include practical problems for solving in R/Python language. The study aid is based on the course "Statistics for stochastic processes" and can be useful for students of direction of training 01.03.02, 01.04.02 "Applied Mathematics and Computer Science". 
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