About journal

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Modern Stochastics: Theory and Applications publishes original research papers of highest quality in modern stochastics with broad coverage of probability and statistics topics and the emphasis on innovative nature of results and their potential for practical applications. Read more.

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ISSN:
2351-6046 (Print),
2351-6054 (Online)

News

Modern Stochastics: Theory and Applications V Conference 2020

We are delighted to announce the forthcoming international conference "Modern Stochastics: Theory and Applications V" (MSTA5-2020) to be held on June 2-5, 2020 at Taras Shevchenko National University of Kyiv and at National Pedagogical Dragomanov University (Kyiv, Ukraine).

The conference will provide an opportunity to present new results in a wide range of research areas: probability, mathematical statistics, theory of stochastic processes and fields, fractional and multifractal processes, fractal analysis, stochastic analysis, stochastic differential equations, stochastic models of evolution systems, stochastic reliability theory, information security, queueing theory, risk processes, actuarial and financial mathematics.

The Conference MSTA5-2020 is dedicated to the anniversaries of prominent scientists: Volodymyr Korolyuk, Pavlo Knopov, and Yuriy Kozachenko

Within the framework of the conference, the Special Sessions will be dedicated to prominent mathematicians Anatoliy Skorokhod (10.09.1930 – 03.01.2011) and Igor Kovalenko (16.03.1935 – 19.10.2019). 

For more information please visit the conference website.

                                                           Date published: 2019-10-25

 

New hosting platform

To ensure that the journal continues to meet the existing and future needs of the community, Modern Stochastics: Theory and Applications (MSTA) journal team has introduced changes on MSTA journal hosting platform. From March 2018 all articles (including articles from previous volumes) are published in a format of full-text HTML along with the more traditional PDF format. The HTML format increases the content discoverability for search engines, facilitates the cross-device portability, and allows for further semantic enrichment of content.

Date published: 2018-03-05

Publishers

Publisher:

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Solutions for science publishing

co-publishers:

Vilnius University logo

Vilnius University

Taras Shevchenko National University of Kyiv logo

Taras Shevchenko
National University of Kyiv