AStA Advances in Statistical Analysis

Aims & Scope

- Statistical Applications: The Statistical Application section features contributions where innovative forms of statistical modeling and analysis techniques are applied on novel and timely research questions from a wide range of application areas.

Traditionally, social sciences and particularly business and economics applications are at home at AStA, but submissions with other fields of application such as engineering, environmental sciences, or life sciences including medicine are also strongly encouraged. - Statistical Methodology: The Statistical Methodology section publishes original articles on statistical theory and methodological developments.

The contributions should provide novel material and can have either a theoretical or computational focus.

Papers on the interface to data science, statistical learning and machine learning are also well within the scope of AStA.

In any case, a paper submitted to AStA should be motivated from a practical perspective and illustrated along a timely application. - Statistical Reviews: The Statistical Review section welcomes review articles in the various fields of statistics, including statistical computing and software.

Particular attention is given to review papers summarizing areas that currently undergo a particularly dynamic development.

Book reviews are also published in this section.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.4
2024	1.40

SJR (SCImago Journal Rank)

Year	Value
2024	0.590

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	9832

Journal Citation Indicator

Year	Value
2024	169

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Economics, Econometrics and Finance, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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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.

• Thinning operations for modeling time series of counts—a survey

  Citation: 312

  Authors: Christian H.

• Spatio-temporal modeling of particulate matter concentration through the SPDE approach

  Citation: 260

  Authors: Michela, Finn, Daniel, HÃ¥vard

• Bandwidth selection for kernel density estimation: a review of fully automatic selectors

  Citation: 216

  Authors: Nils-Bastian, Anja, Stefan

• On composite marginal likelihoods

  Citation: 202

  Authors: Cristiano

• An extension of the Blinder–Oaxaca decomposition to nonlinear models

  Citation: 176

  Authors: Thomas K., Mathias

• A survey of functional principal component analysis

  Citation: 156

  Authors: Han Lin

• Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

  Citation: 140

  Authors: Toby A., Alison, Roland, Paul G., Len, Ruth

• A Markov chain Monte Carlo algorithm for multiple imputation in large surveys

  Citation: 107

  Authors: Daniel

• StatSoft, Inc., Tulsa, OK.: STATISTICA, Version 8

  Citation: 105

  Authors: Christian H.

• Computer experiments: a review

  Citation: 87

  Authors: Sigal, David M.

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