Statistics and Computing

2 papers in the last 7 days · category: Statistics · publisher: Springer Science+Business Media · ISSN 0960-3174

Key findings#

Statistics and Computing published 21 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #45 of 392 journals.
Leading institutions: Nanyang Technological University (3), Southern University of Science and Technology (2) and Jilin University (2).
Countries: China (5), United Kingdom (5) and Singapore (4).
From Oct 2023 to Sep 2026, Statistics and Computing published 679 papers (19 a month on average, by publication date in OpenAlex).
Its most frequent keywords over that period were “feature selection” (50), “high-dimensional data” (37) and “computational efficiency” (34).
Its most-cited paper of the period is “Multiple-output quantile regression neural network” (2024-03-08), with 87 citations.
Since October 2016, its most-cited paper is “Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation” (2018-12-03), with 324 citations.

The last 36 months#

Oct 23Sep 26

Papers by publication date, Oct 2023 to Sep 2026
Oct 23–Sep 24	Oct 24–Sep 25	Oct 25–Sep 26	36 months
205	234	240	679

Most frequent keywords, Oct 2023 to Sep 2026
#	Keyword	Papers
1	feature selection	50
2	high-dimensional data	37
3	computational efficiency	34
4	asymptotic normality	29
5	Bayesian inference	25
6	expectation-maximization algorithm	24
7	parameter estimation	23
8	convergence rate	22
9	outliers	22
10	uncertainty quantification	22

Most-cited papers published Oct 2023 to Sep 2026
#	Citations	Per month	Title	Journal	Published	Authors
1	87	2.7	Multiple-output quantile regression neural network	Statistics and Computing	2024-03-08	Ruiting Hao, X. Yang
2	69	2.0	Detecting and diagnosing prior and likelihood sensitivity with power-scaling	Statistics and Computing	2023-12-31	Noa Kallioinen, Topi Paananen, Paul‐Christian Bürkner et al.
3	28	1.4	Uncertainty quantification and propagation in surrogate-based Bayesian inference	Statistics and Computing	2025-03-13	Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke et al.
4	23	0.6	Modern non-linear function-on-function regression	Statistics and Computing	2023-10-04	Aniruddha Rajendra Rao, Matthew L. Reimherr
5	22	3.8	Non-negative matrix factorization algorithms generally improve topic model fits	Statistics and Computing	2026-05-05	Peter S. Carbonetto, Abhishek Sarkar, Zihao Wang et al.

Most-cited since October 2016# All journals →

The journal's most-cited papers published since October 2016
#	Citations	Per month	Title	Journal	Published	Authors
1	324	3.4	Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation	Statistics and Computing	2018-12-03	Edward Higson, Will J. Handley, M. Hobson et al.
2	262	4.4	Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance	Statistics and Computing	2021-10-29	Giles Hooker, Lucas Mentch, Siyu Zhou
3	247	2.2	A note on using the F-measure for evaluating record linkage algorithms	Statistics and Computing	2017-04-18	David J. Hand, Peter Christen
4	219	2.5	Hilbert space methods for reduced-rank Gaussian process regression	Statistics and Computing	2019-08-05	Arno Solin, Simo Särkkä
5	171	1.9	Mean and median bias reduction in generalized linear models	Statistics and Computing	2019-03-04	Ioannis Kosmidis, Euloge Clovis Kenne Pagui, Nicola Sartori
6	151	1.4	Deep Gaussian mixture models	Statistics and Computing	2017-12-01	Cinzia Viroli, Geoffrey John McLachlan
7	103	1.1	Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation	Statistics and Computing	2019-02-15	Marco Scutari, Claudia Vitolo, Allan Tucker
8	99	0.8	Large-scale kernel methods for independence testing	Statistics and Computing	2017-01-24	Qinyi Zhang, Sarah L. Filippi, Arthur Gretton et al.
9	91	0.8	Likelihood-free inference via classification	Statistics and Computing	2017-03-13	Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski A et al.
10	87	1.0	The minimum regularized covariance determinant estimator	Statistics and Computing	2019-04-02	Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel et al.

Papers, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-25	Matching-based estimation of causal quantile exposure response functions for continuous treatments	Statistics and Computing	Luca Merlo, Francesca Dominici, Lea Petrella et al.	Link Campus University; Harvard University; Sapienza University of Rome; …
2026-10-25	Sparse linear regression: sequential convex relaxation and support recovery	Statistics and Computing	Shujun Bi, Yonghua Yang, PAN SHAO-HUA	South China University of Technology
2026-10-23	An infinite BART model	Statistics and Computing	Marco Battiston, Yu Luo	Lancaster University; King's College London
2026-10-21	Alasso-based transfer learning estimation of the accelerated failure time model with high-dimensional data	Statistics and Computing	Yichen Lou, Mingyue Du, Jianguo Sun	Nanyang Technological University; Jilin University; Southern University of Science and Technology
2026-10-20	An RP-MMD framework for multivariate goodness-of-fit testing in location-scale families	Statistics and Computing	Shengyang Xin, Ping He, Yuxuan Lin et al.	Beijing Normal-Hong Kong Baptist University; Inner Mongolia Normal University
2026-10-20	Regression analysis of interval-censored failure time data in the presence of random change points and a cured subgroup	Statistics and Computing	Yichen Lou, Mingyue Du, Jianguo Sun	Nanyang Technological University; Jilin University; Southern University of Science and Technology
2026-10-20	Fast simulation of Gaussian random fields with flexible correlation models in Euclidean spaces	Statistics and Computing	Moreno Bevilacqua, Xavier Emery, Francisco Cuevas‐Pacheco	Ca' Foscari University of Venice; Adolfo Ibáñez University; Advanced Mining Technology Center; …
2026-10-17	On spatially-adaptive intensity estimation for spatial point processes	Statistics and Computing	Mehdi Moradi, Ferry Heinzelmann	Umeå University; TU Dortmund University
2026-10-17	Reliability Acceptance Sampling Plans Under Progressive Type-I Interval Censoring Schemes in Presence of Dependent Competing Risks	Statistics and Computing	Rathin Das, Soumya Roy, Biswabrata Pradhan	Indian Statistical Institute; Indian Institute of Management Kozhikode
2026-10-17	Annealed leap-point sampler for multimodal target distributions	Statistics and Computing	Nicholas G. Tawn, Matthew T. Moores, Hugo Queniat et al.	University of Warwick; Lappeenranta-Lahti University of Technology
2026-10-16	Interpretable models for forecasting high-dimensional functional time series	Statistics and Computing	Han Lin Shang, Cristian Felipe Jiménez Varón	Macquarie University; University of York
2026-10-16	Penalized communication-efficient algorithm for quantile regression with high-dimensional and large-scale longitudinal data	Statistics and Computing	songyn Song, Haohui Han, Liya Fu	Xi'an University of Technology; Xi'an Jiaotong University
2026-10-14	Differentially private Lasso for high-dimensional sparse regression across privacy regimes	Statistics and Computing	Jiahui Zhang, Chi Seng Pun	Nanyang Technological University
2026-10-13	Posterior sampling of word embeddings	Statistics and Computing	Väinö Yrjänäinen, Isac Boström, Johan Jonasson et al.	Uppsala University; Chalmers University of Technology
2026-10-13	Robust Bayesian methods using amortized simulation-based inference	Statistics and Computing	Yuyan Wang, Michael Evans, David J. Nott	National University of Singapore; University of Toronto
2026-10-10	Estimation of Tsallis entropy and its applications to goodness-of-fit tests	Statistics and Computing	Siddhartha Chakraborty, Asok K. Nanda, Narayanaswamy Balakrishnan	University of Kalyani; Indian Institute of Science Education and Research Kolkata; Atilim University; …
2026-10-09	A fast and stable algorithm for non-parametric maximum likelihood estimation of survival functions for left-truncated and interval-censored data	Statistics and Computing	Zachary Waller, Adele H. Marshall, Frank Kee et al.	Queen's University Belfast; Ontario Tech University
2026-10-08	SAT-sampling for statistical significance testing in sparse contingency tables	Statistics and Computing	Patrick Scharpfenecker, Tobias Windisch	Kempten University of Applied Sciences
2026-10-07	Statistical commutators with applications to estimation, inference, and regularization tuning	Statistics and Computing	Ivo D. Dinov, Eric Tatt Wei Ho, S. Ejaz Ahmed	University of Michigan; Universiti Teknologi Petronas; Brock University
2026-10-06	Bayesian modelling of clustered extreme events using a nonparametric Hawkes process	Statistics and Computing	Gordon J. Ross, Dean Markwick	University of Edinburgh; University College London
2026-10-03	Covariance matrix completion via auxiliary information	Statistics and Computing	Joseph Steneman, Giuseppe Vinci	University of Notre Dame

Cite this page

Scholar4AI. (2026). Statistics and Computing. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/statistics-and-computing

@misc{scholar4ai-journals-statistics-and-computing,
  author = {{Scholar4AI}},
  title = {Statistics and Computing},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/statistics-and-computing}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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