---
title: "Computational Statistics & Data Analysis: recent papers"
description: "Computational Statistics & Data Analysis published 7 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #146 of 392 journals."
url: https://scholar4ai.com/journals/computational-statistics-data-analysis
markdown_url: https://scholar4ai.com/journals/computational-statistics-data-analysis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Computational Statistics & Data Analysis published 7 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #146 of 392 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-30T12:46:54+09:00
window: 2026-10-01 to 2026-10-30
source: OpenAlex (CC0)
---

# Computational Statistics & Data Analysis

- 0 papers in the last 7 days
- category: Statistics
- publisher: Elsevier BV
- ISSN 0167-9473

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Computational Statistics & Data Analysis published 7 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #146 of 392 journals.
- Leading institutions: University College London (1), University of Exeter (1) and Korea University (1).
- Countries: United States (2), United Kingdom (1) and South Korea (1).
- From Oct 2023 to Sep 2026, Computational Statistics & Data Analysis published 377 papers (10 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “feature selection” (32), “high-dimensional data” (27) and “asymptotic normality” (20).
- Its most-cited paper of the period is “Conditional-mean multiplicative operator models for count time series” (2023-11-06), with 15 citations.
- Since October 2016, its most-cited paper is “A note on the validity of cross-validation for evaluating autoregressive time series prediction” (2017-11-23), with 774 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 126 | 144 | 107 | 377 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | feature selection | 32 |
| 2 | high-dimensional data | 27 |
| 3 | asymptotic normality | 20 |
| 4 | computational efficiency | 19 |
| 5 | parameter estimation | 13 |
| 6 | outliers | 11 |
| 7 | asymptotic properties | 10 |
| 8 | consistency | 10 |
| 9 | maximum likelihood estimation | 10 |
| 10 | asymptotic distribution | 9 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 15 | 0.4 | [Conditional-mean multiplicative operator models for count time series](https://doi.org/10.1016/j.csda.2023.107885) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2023-11-06 | Christian H. Weiß, Fukang Zhu |
| 2 | 12 | 0.8 | [High-dimensional and banded integer-valued autoregressive processes](https://doi.org/10.1016/j.csda.2025.108243) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2025-07-04 | Nuo Xu, Kai Yu Yang |
| 3 | 12 | 1.4 | [Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors](https://doi.org/10.1016/j.csda.2026.108358) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2026-02-17 | Kun Fan, Srijana Subedi, Vishmi Dissanayake et al. |
| 4 | 10 | 0.3 | [One point per cluster spatially balanced sampling](https://doi.org/10.1016/j.csda.2023.107888) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2023-11-06 | B. L. Robertson, Christopher John Price |
| 5 | 10 | 0.3 | [Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression](https://doi.org/10.1016/j.csda.2023.107901) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2023-11-28 | Xiaofei Wu, Hao Ming, Zhimin Zhang et al. |

## Most-cited since October 2016

*The journal's most-cited papers published since October 2016*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 774 | 7.2 | [A note on the validity of cross-validation for evaluating autoregressive time series prediction](https://doi.org/10.1016/j.csda.2017.11.003) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2017-11-23 | Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo |
| 2 | 729 | 8.5 | [Benchmark for filter methods for feature selection in high-dimensional classification data](https://doi.org/10.1016/j.csda.2019.106839) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2019-09-19 | Andrea Bommert, Xudong Sun, Bernd Bischl et al. |
| 3 | 423 | 4.9 | [Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation](https://doi.org/10.1016/j.csda.2019.106816) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2019-07-28 | Yongchan Kwon, Joong‐Ho Won, Beom Joon Kim et al. |
| 4 | 235 | 3.1 | [A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics](https://doi.org/10.1016/j.csda.2020.107043) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2020-06-27 | Max Arjen Baak, R. F. Koopman, H. L. Snoek et al. |
| 5 | 216 | 3.1 | [Clustering with the Average Silhouette Width](https://doi.org/10.1016/j.csda.2021.107190) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2021-02-10 | Fatima Batool, Christian Martin Hennig |
| 6 | 183 | 1.6 | [D-vine copula based quantile regression](https://doi.org/10.1016/j.csda.2016.12.009) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2016-12-28 | Daniel Kraus, Claudia Czado |
| 7 | 128 | 1.1 | [RHSBoost: Improving classification performance in imbalance data](https://doi.org/10.1016/j.csda.2017.01.005) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2017-02-03 | Joonho Gong, Hyunjoong Kim |
| 8 | 92 | 0.8 | [Bivariate copula additive models for location, scale and shape](https://doi.org/10.1016/j.csda.2017.03.004) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2017-03-16 | Giampiero Marra, Rosalba Radice |
| 9 | 87 | 0.7 | [Robust and sparse estimators for linear regression models](https://doi.org/10.1016/j.csda.2017.02.002) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2017-02-16 | Ezequiel Smucler, Vı́ctor J. Yohai |
| 10 | 80 | 0.7 | [Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion](https://doi.org/10.1016/j.csda.2017.08.002) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2017-08-09 | Mahdi Roozbeh |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | [Generalized and scalable deep Gaussian process emulation](https://doi.org/10.1016/j.csda.2026.108485) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Deyu Ming, Daniel Williamson | University College London; University of Exeter |
| 2026-10-16 | [Penalized principal machines for sufficient dimension reduction and its efficient computation](https://doi.org/10.1016/j.csda.2026.108483) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Jungmin Shin, Seung Jun Shin | Korea University |
| 2026-10-16 | [Detecting change points in the hemodynamic response in event-related functional magnetic resonance imaging](https://doi.org/10.1016/j.csda.2026.108484) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Friederike Preusse, Thorsten Dickhaus, André Brechmann | University of Bremen; Leibniz Institute for Neurobiology |
| 2026-10-15 | [A novel multi-exposure-to-multi-mediator mediation model for imaging genetics studies of brain disorders](https://doi.org/10.1016/j.csda.2026.108482) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Neng Wang, ERIC V. SLUD, Tianzhou Ma | University of Maryland, College Park |
| 2026-10-11 | [INLA-RF: A hybrid modeling strategy for spatio-temporal environmental data](https://doi.org/10.1016/j.csda.2026.108481) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Mario Figueira, Michela Cameletti, Luca Patelli | Universitat de València; University of Bergamo |
| 2026-10-07 | [Inference in a factorial hidden semi-Markov model with variational EM](https://doi.org/10.1016/j.csda.2026.108480) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Ronan Trépos, Régis Sabbadin, Sam Nicol et al. | Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Mathématiques et Informatique Appliquées Toulouse; Commonwealth Scientific and Industrial Research Organisation; … |
| 2026-10-01 | [A joint modeling approach to treatment effects estimation with unmeasured confounders in clustered data](https://doi.org/10.1016/j.csda.2026.108486) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Namhwa Lee, Guanyu Hu, Shujie Ma | University of California, Riverside; The University of Texas Health Science Center at Houston |

## Cite this page

Scholar4AI. (2026). Computational Statistics & Data Analysis. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/computational-statistics-data-analysis

```bibtex
@misc{scholar4ai-journals-computational-statistics-data-analysis,
  author = {{Scholar4AI}},
  title = {Computational Statistics & Data Analysis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/computational-statistics-data-analysis}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).