ResearchGuide Logo

Chat support

Advanced search ?

Discover the optimal journal based on multiple criteria or locate authors along with their published articles and the corresponding journals.

Publisher

* You can search a publisher or tap the name directly

Subject Area

* You can search a subject area or tap the name directly

Open Acess

Quartille





Modern Stochastics: Theory and Applications

VERIFIED JOURNAL
You want to contribute ? Login first and send us the Journal infos you think is correct.
We would be pleased to have your collaboration

This journal is included in the ResearchGuide whitelist of reputable titles. Learn more here.

JOURNAL INFORMATION
Publisher VTeX
Open Access NO
Quartile Q3
Citation Count 52
P-ISSN 2351-6046
E-ISSN 2351-6054
Categories Modeling and Simulation, Statistics and Probability, Statistics, Probability and Uncertainty
Area Decision Sciences, Mathematics
Region Eastern Europe
Country Lithuania
Summary

  1. Modern Stochastics: Theory and Applications is published by VTeX
  2. It is not an oppen access journal
  3. The Subject Area : Decision Sciences; Mathematics

Latest Articles published

Last updated: 21/08/2024

2020 Mathematics Subject Classification index

  • Authors:

Last updated: 21/08/2024

Estimation in Cox proportional hazards model with heteroscedastic errors in covariates


Last updated: 21/08/2024

Author index

  • Authors:

Last updated: 21/08/2024

Fluctuations of an omega-type killed process in discrete time


Last updated: 21/08/2024

Keywords index

  • Authors:

Last updated: 21/08/2024

Generalized fractional calculus and some models of generalized counting processes


Last updated: 21/08/2024

Sample path properties of multidimensional integral with respect to stochastic measure


Last updated: 21/08/2024

Properties of the entropic risk measure EVaR in relation to selected distributions


Last updated: 21/08/2024

Unsolved problem about stability of stochastic difference equations with continuous time and distributed delay


Last updated: 21/08/2024

Combinatorial approach to the calculation of projection coefficients for the simplest Gaussian-Volterra process