ESAIM - Probability and Statistics
Published by EDP Sciences
ISSN : 1292-8100 eISSN : 1262-3318
Abbreviation : ESAIM Probab. Stat.
Aims & Scope
The journal publishes original research and survey papers in the area of Probability and Statistics.
It covers theoretical and practical aspects, in any field of these domains.
Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics.
Long papers are very welcome.
Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important.
In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest.
We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges.
Of course this does not mean that the journal will be only devoted to practical aspects.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.508 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 31 |
Impact Factor
| Year | Value |
|---|---|
| 2024 | 0.60 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 11433 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 54 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Theory of Classification: a Survey of Some Recent Advances
Citation: 221
Authors: Stéphane, Olivier, Gábor
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Coupling a stochastic approximation version of EM with an MCMC procedure
Citation: 170
Authors: Estelle, Marc
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Asymptotic normality and efficiency of two Sobol index estimators
Citation: 160
Authors: Alexandre, Thierry, Agnès, Maëlle, Clémentine
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Diffusions with measurement errors. I. Local Asymptotic Normality
Citation: 111
Authors: Arnaud, Jean
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Euler scheme for SDEs with non-Lipschitz diffusion coefficient: strong convergence
Citation: 90
Authors: Abdel, Mireille, Awa