Modern Stochastics: Theory and Applications

Modern Stochastics: Theory and Applications

Discipline	Probability theory, statistics
Language	English
Edited by	Kestutis Kubilius, Yuliya Mishura
Publication details
History	2014–present
Publisher	VTeX, Vilnius University, and Taras Shevchenko National University of Kyiv
Frequency	Quarterly
Open access	Yes
License	Creative Commons Attribution 3.0
Standard abbreviations ISO 4 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt )
ISO 4	Mod. Stoch.: Theory Appl.
Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus
ISSN	2351-6046 (print) 2351-6054 (web)
OCLC no.	1078170985
Links
Journal homepage

Modern Stochastics: Theory and Applications is a quarterly peer-reviewed open-access mathematics journal that was established in 2014. It is published cooperatively by Vilnius University (Lithuania), Taras Shevchenko National University of Kyiv (Ukraine), and VTeX (Lithuania). The editors-in-chief are Kestutis Kubilius (Vilnius University) and Yuliya Mishura (Taras Shevchenko National University of Kyiv). The journal covers all aspects of stochastics.

Focus and scope

The journal publishes original research papers in:

• probability theory
• mathematical statistics
• theory of stochastic processes and random fields
• stochastic analysis and stochastic differential equations;
• probabilistic aspects of fractal analysis
• stochastic geometry
• financial mathematics
• actuarial mathematics and risk theory
• applications in economics, biology, physics, engineering
• optimization and control

Abstracting and indexing

The journal is abstracted and indexed in:

• Current Index to Statistics^[1]
• Emerging Sources Citation Index^[2]
• MathSciNet^[3]
• Scopus^[4]
• Zentralblatt MATH^[5]

References

1. "Current Index to Statistics". CIS/ED. Institute of Mathematical Statistics/American Statistical Association. Retrieved July 18, 2019.
2. "Master Journal List". Intellectual Property & Science. Clarivate Analytics. Retrieved June 6, 2019.
3. "Modern Stochastics. Theory and Applications". MathSciNet. American Mathematical Society. Retrieved March 13, 2019.
4. "Source details: Modern Stochastics: Theory and Applications". Scopus preview. Elsevier. Retrieved June 6, 2019.
5. "Serials Database". Zentralblatt MATH. Springer Science+Business Media. Retrieved March 13, 2019.

External links

• Official website