Electronic Journal of Statistics
Overview
The Electronic Journal of Statistics is a peer-reviewed open-access journal that publishes high-quality research articles in all areas of statistics. It provides a platform for researchers to share their innovative methodologies, theoretical developments, and practical applications in the field of statistics. The journal promotes the dissemination of statistical knowledge and fosters collaboration among statisticians worldwide.
Details
Details
Abbr.
Electron J Stat
Start
2007
End
Continuing
Frequency
Annual
e-ISSN
1935-7524
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 6235
59
SJR / Ranks: 2634
1256
CiteScore / Ranks: 11545
1.60
JIF / Ranks: 6694
1.1
Recent Articles
1.
Ninga X, Sun Y, Pan Y, B Gilbert P
Electron J Stat
. 2025 Feb;
19(1):240-290.
PMID: 39959858
Partly interval-censored data, comprising exact and intervalcensored observations, are prevalent in biomedical, clinical, and epidemiological studies. This paper studies a flexible class of the semiparametric Cox-Aalen transformation models for regression...
2.
Zhang T, Simon N
Electron J Stat
. 2025 Feb;
17(2):3660-3727.
PMID: 39897081
Estimation of a conditional mean (linking a set of features to an outcome of interest) is a fundamental statistical task. While there is an appeal to flexible nonparametric procedures, effective...
3.
Mao L
Electron J Stat
. 2024 Dec;
18(2):4640-4666.
PMID: 39664782
The marginal inference of an outcome variable can be improved by closely related covariates with a structured distribution. This differs from standard covariate adjustment in randomized trials, which exploits covariate-treatment...
4.
Tang B, Pramanik S, Zhao Y, Caffo B, Datta A
Electron J Stat
. 2024 Oct;
18(2):3327-3375.
PMID: 39391289
In this manuscript, we study scalar-on-distribution regression; that is, instances where subject-specific distributions or densities are the covariates, related to a scalar outcome via a regression model. In practice, only...
5.
Luo L, Han R, Lin Y, Huang J
Electron J Stat
. 2024 Aug;
17(2):3443-3471.
PMID: 39188774
In this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for realtime estimation and inference. We propose an online debiased lasso method...
6.
Park Y, Han K, Simpson D
Electron J Stat
. 2024 Aug;
17(2):3143-3180.
PMID: 39105139
Hypothesis testing procedures are developed to assess linear operator constraints in function-on-scalar regression when incomplete functional responses are observed. The approach enables statistical inferences about the shape and other aspects...
7.
Long J, Zhu H, Do K, Ha M
Electron J Stat
. 2024 Jul;
17(2):2849-2879.
PMID: 38957485
Recent works have proposed regression models which are invariant across data collection environments [24, 20, 11, 16, 8]. These estimators often have a causal interpretation under conditions on the environments...
8.
Qiu H, Luedtke A
Electron J Stat
. 2024 Mar;
17(2):1996-2043.
PMID: 38463692
Bayes estimators are well known to provide a means to incorporate prior knowledge that can be expressed in terms of a single prior distribution. However, when this knowledge is too...
9.
Laha N, Moodie Z, Huang Y, Luedtke A
Electron J Stat
. 2023 Nov;
16(2):5852-5933.
PMID: 37974631
We study the performance of shape-constrained methods for evaluating immune response profiles from early-phase vaccine trials. The motivating problem for this work involves quantifying and comparing the IgG binding immune...
10.
Ma L, Liu L, Yang W
Electron J Stat
. 2023 Oct;
15(2):4420-4461.
PMID: 37842008
Envelope method was recently proposed as a method to reduce the dimension of responses in multivariate regressions. However, when there exists missing data, the envelope method using the complete case...