Modern Stochastics: Theory and Applications

Journal cover
Focus and Scope. Modern Stochastics: Theory and Applications publishes original research papers of highest quality in modern stochastics including
  • probability theory
  • mathematical statistics
  • theory of stochastic processes and random fields
  • stochastic analysis and stochastic differential equations
  • probabilistic aspects of fractal analysis
  • stochastic geometry
and various applied fields such as
  • financial mathematics
  • actuarial mathematics and risk theory
  • applications in economics, biology, physics, engineering
  • optimization and control

With broad coverage of probability and statistics topics, we welcome original papers to present the deepest and highly innovative results, new tools, ideas and methods with rigorous mathematical background, and also with a great potential for practical applications. Journal will accept only papers of sufficiently high quality both in terms of scientific contents and the presentation of the results (including the graphical aspect of the work). The journal welcomes articles of interdisciplinary nature.

Periodicity. The journal is published quarterly.

Peer review process. Articles submitted to VMSTA journal are anonymously reviewed by at least three experts in the field. The details of the peer-review process are described here.

Open Access Policy. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Abstracted/Indexed in: Current Index to Statistics – Extended Database (CIS/ED), Google Scholar, Index Copernicus, MathSciNet, Scilit, Zentralblatt MATH Database (zbMATH)
From now – also in: Emerging Sources Citation Index (ESCI) of Web of Science

VTEX. Solutions for Science Publishing   Vilnius University   Taras Shevchenko National University of Kyiv

Articles to Appear in Subsequent Issues >>

Vol 4, No 3 (2017)

Table of Contents


The self-normalized Donsker theorem revisited PDF
Peter Parczewski 189–198
Asymptotic behavior of functionals of the solutions to inhomogeneous Itô stochastic differential equations with nonregular dependence on parameter PDF
Grigorij Kulinich, Svitlana Kushnirenko 199–217
Quantifying non-monotonicity of functions and the lack of positivity in signed measures PDF
Youri Davydov, Ričardas Zitikis 219–231
Weighted entropy: basic inequalities PDF
Mark Kelbert, Izabella Stuhl, Yuri Suhov 233–252
Random iterations of homeomorphisms on the circle PDF
Katrin Gelfert, Örjan Stenflo 253–271
On singularity of distribution of random variables with independent symbols of Oppenheim expansions PDF
Liliia Sydoruk, Grygoriy Torbin 273–283