Modern Stochastics: Theory and Applications

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.

Modern Stochastics: Theory and Applications
DisciplineProbability theory, statistics
LanguageEnglish
Edited byKestutis Kubilius, Yuliya Mishura
Publication details
History2014–present
Publisher
FrequencyQuarterly
Yes
LicenseCreative Commons Attribution 3.0
Standard abbreviations
ISO 4Mod. Stoch.: Theory Appl.
Indexing
ISSN2351-6046 (print)
2351-6054 (web)
OCLC no.1078170985
Links

Abstracting and indexing

The journal is abstracted and indexed in:

gollark: GregTech, from what I've heard, seems very hard.
gollark: There isn't time gating like that, although you need several billion RF stored and/or several tens of kRF/t of production to start up a reactor.
gollark: The hard part is that the electromagnets require large amounts of *somewhat* annoying to get resources (tough alloy), and the "fusion core" requires elite plating, requiring a bunch of uranium-238 and "crystal binder", which requires "calcium sulfate" which requires a large complex chemical processing setup.
gollark: NuclearCraft has fusion reactors which I've made a few times. They need a lot of resources and also *somewhat* hard to make stuff.
gollark: The faucet things are effectively liquid pipes activated by rightclicking and redstone, which is... something.

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.


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