Statistical Papers
1997 - 2026
Current editor(s): C. Müller, W. Krämer and W.G. Müller From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 67, issue 5, 2026
- Adaptive inference in a dynamic nonparametric $$\beta $$ β -model for networks pp. 1-31

- Lu Pan and Qiuping Wang
- Group LASSO for multiple change-point detection in a generalized integer-valued autoregressive model pp. 1-39

- Danshu Sheng, Jiao Hua, Jinxian Xu, Dehui Wang and Shuilin Jin
- Pretest, shrinkage and Stein-type estimators for k-parallel sampling in auto-regressive models pp. 1-39

- Sara Bendjeddou, Arsalane Chouaib Guidoum, Mohamed Sadoun and Syed Ejaz Ahmed
- Spatially adaptive neighborhood smoothing for directed sparse graphons pp. 1-20

- Behzad Aalipur
- Bayesian mediation analysis with latent mediators and survival outcome under dependent right-censored data pp. 1-20

- Shunxin Qi, Wenshan Wang, Jingjing Jiang and Chunjie Wang
- A new frailty model based on the jørgensen–seshadri–whitmore distribution pp. 1-27

- Zohreh Mohammadi, Diego I. Gallardo and Ahad Jamalizadeh
- Transfer learning for Box–Cox transformed spatial autoregressive models pp. 1-27

- Haixu Bian and Yunquan Song
- Quasi maximum likelihood estimation of high-dimensional heteroskedastic and approximate factor models pp. 1-27

- Chenxu Li, Zhigen Gao, Man-Lai Tang and Jianhua Guo
- Bayesian inference in multinomial logistic model for stratified unilateral and bilateral paired data pp. 1-27

- Jinxiu Wen and Zhiming Li
- On the existence of maximum likelihood estimators in a multinomial choice model under positivity constraints pp. 1-33

- Cheng- Der Fuh, Chu-Lan Michael Kao and Tianxiao Pang
- Empirical likelihood inference for a unified mixed INAR(1) model pp. 1-38

- Jianhua Cheng and Yao Li
- Efficient and exact Bayesian inference for Dirichlet process hidden Markov multiple change-point models pp. 1-17

- Masoud Majidizadeh
- A robust goodness-of-fit test based on the empirical characteristic process of the median pp. 1-40

- Božidar V. Popović, Andjela Mijanović and Viktor Witkovský
- Rank-based concordance for zero-inflated data: new representations, associated estimators, and sharp bounds pp. 1-40

- Jasper Arends, Guanjie Lyu, Mhamed Mesfioui, Elisa Perrone and Julien Trufin
- Estimation of sparse linear regression coefficients under L-subexponential covariates pp. 1-23

- Takeyuki Sasai
- Order-induced variance in the moving-range sigma estimator: a total-variance decomposition pp. 1-15

- Andrew T. Karl
- Universality of the first-step signal projection in tensor PCA pp. 1-9

- Mohammad Meysami, Umesh Kumar and Alex Meisami
- Change point detection with adaptive sampling for binary responses pp. 1-19

- Yanqing Yi and Su-Fen Yang
- Novel fast and asymptotically efficient estimation in weighted exponential family pp. 1-36

- Hyeonwoo Kim, JungJae Choi and Hyoung-Moon Kim
- Testing high-dimensional regression coefficients in linear models via Bayes factor pp. 1-36

- Jinzhi Huang and Bingzhao Li
- A new single-index-driven autoregressive model pp. 1-36

- Jingwen Huang and Dehui Wang
- Adaptive kNN estimation of distribution functions: theory, simulation, and applications pp. 1-36

- Hadi Alizadeh Noughabi and Reza Alizadeh Noughabi
- Identifiability of the semiparametric competing risks model with Gumbel dependence under exclusion restrictions pp. 1-13

- Jia-Han Shih, Simon M. S. Lo and Ralf A. Wilke
- Copula-based models for competing risks: a comprehensive review pp. 1-42

- Jacob Majakwara and Herbert Hove
- An F-type test for repeated-measures analysis of functional data pp. 1-29

- Yinying Kong, Shiyu Lan, You-Gan Wang and Jin-Ting Zhang
- Estimating basis covariance and precision matrices for compositional data with missing values pp. 1-30

- Lin Tian and Jinru Wang
- A distribution-free EWMA control chart based on conformal p-values pp. 1-25

- Guiqin Li, Zhiyu Deng, Mengxin Tian and Yuanyuan Ju
- Beyond exact and asymptotic: optimization-based tuning of confidence intervals for proportions pp. 1-25

- Frank Konietschke and Edgar Brunner
- Finite-sample tail distortion under normal approximation pp. 1-8

- Michael A. Froelich
- Scalable network-driven variable selection in Bayesian linear regression pp. 1-43

- Jiarong Ouyang, Beniamino Hadj-Amar and Xuan Cao
- Self-normalized quantile empirical saddlepoint approximation pp. 1-43

- Hou Jian, Meng Tan and Tian Maozai
Volume 67, issue 4, 2026
- Construction of component orthogonal arrays with flexible sizes pp. 1-19

- Chengjun Hou, Min-Qian Liu and Liuqing Yang
- Reducing subspace dynamic connectivity estimation in MGARCH models for brain health classification pp. 1-28

- Toktam Valizadeh and S. Yaser Samadi
- A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data pp. 1-41

- Rihab Gharbi, Wissem Jedidi, Salah Khardani and Frédéric Ouimet
- Identification of structural shocks in Bayesian vector error correction models with two-state Markov-switching heteroskedasticity pp. 1-41

- Justyna Wróblewska and Łukasz Kwiatkowski
- Dependent default times with mixed hitting-time models pp. 1-41

- Mikael Escobar-Bach, Salima Helali and Hajer Rejeb
- Characterisation of distributions via record-like observations pp. 1-30

- Raúl Gouet, Miguel Lafuente, F. Javier López and Gerardo Sanz
- Self-excited hysteretic integer-valued autoregressive processes pp. 1-30

- Ye Liu, Xiuyue Zhao, Christian H. Weiß and Kai Yang
- Multiplier bootstrap tests for high-dimensional quantile regression pp. 1-25

- Haochen Rao, Weichao Yang, Hongwei Shi, Niwen Zhou and Xiaoyi Wang
- Construction of doubly coupled designs with desirable space-filling properties pp. 1-29

- Mengmeng Liu, Min-Qian Liu and Jinyu Yang
- Two approaches to multiple canonical correlation analysis for repeated measures data pp. 1-29

- Tomasz Górecki, Mirosław Krzyśko, Felix Gnettner and Piotr Kokoszka
- Concordant marginal information-based goodness-of-fit testing for binary longitudinal data in generalized linear mixed models pp. 1-52

- Jinhui Xu, Xinyi Xu and Mark Reiser
- Bayesian variable selection in high-dimensional ordinal quantile regression models pp. 1-34

- Mai Dao, Md Sakhawat Hossain and Zhuanzhuan Ma
- Robust extremile regression in high dimensions with Huber loss pp. 1-48

- Weixi Sun and Shanshan Wang
- Model checking for parametric single-index quantile regression with randomly right censoring response pp. 1-43

- Ruiyun Zhang, Xiaoyan Zhao, Yuanyuan Jiang and Tianfa Xie
- On the phase transition of Wilks’ phenomenon under block compound symmetry covariance structure pp. 1-35

- Ping Tang and Junshan Xie
- Adaptive feature-weighted variable selection for Fréchet regression pp. 1-62

- Huanlin Li and Lu Lin
- l-inflated telescopic modeling using ranked set sampling with application to lung cancer data pp. 1-20

- Hadi Saboori, Ehsan Zamanzade and Hani M. Samawi
- Theil index decomposition: the influence function approach pp. 1-24

- Lucio Barabesi, Federico Crescenzi and Lorenzo Mori
- A novel parametric divergence measure: definition, properties, and applications pp. 1-24

- Hadi Alizadeh Noughabi and Reza Alizadeh Noughabi
- Computational study of new record-based transmuted Chen distribution and its applications to the failure time and iron sheet data pp. 1-31

- Caner Tanış
- Comparing two categorical Gini correlations with applications to classification problems pp. 1-31

- Sameera Hewage and Yongli Sang
- A stochastic-fiducial-smoothing confidence interval for binomial proportions pp. 1-16

- Chao Chen, Huan Tang, Shiqi Chen, Qianrong Xu, Min Zhu, Zongheng Li and Yanting Chen
- Vertical quantile comparison functions estimation in location scale families pp. 1-27

- Kristian Nestor and Sundarraman Subramanian
- Confidence intervals for normal quantiles: one- and two-sample problems pp. 1-33

- Justin Dunnam and K. Krishnamoorthy
- Generalized autoregressive score linear model with time-varying parameters based on beta distribution pp. 1-26

- Christian Caamaño-Carrillo, Maximiliano Burgos, Javier E. Contreras-Reyes and Sergio Contreras-Espinoza
- A Bayesian nonlinear model with multiple frequencies for business cycle analysis pp. 1-44

- Łukasz Lenart, Łukasz Kwiatkowski and Justyna Wróblewska
Volume 67, issue 3, 2026
- A note on the median of skewed distributions pp. 1-8

- Tim Hunter
- Drift parameter identification for the Ornstein-Uhlenbeck process driven by Ornstein-Uhlenbeck with small General Gaussian noise pp. 1-52

- Héctor Araya, Francisco Plaza-Vega and Eloy Alvarado
- On the dynamic cumulative residual interval Tsallis entropy of order a pp. 1-52

- Stathis Chadjiconstantinidis and Apostolos Bozikas
- Statistical inference for two-population stochastic epidemic models pp. 1-29

- Ibrahim Bouzalmat, Zaineb Smida and Adel Settati
- Improvement of Chatterjee’s correlation with missing at random data in the Y variable pp. 1-30

- Fayyaz Bahari
- Asymptotics of minimum distance estimation for self-exciting load sharing point processes pp. 1-25

- Mirko A. Jakubzik and Christine H. Müller
- A general discrepancy for experimental designs with multiple factor types pp. 1-22

- Chunyan Wen, Yunxi Yang and Feng Yang
- From Poisson observations to fitted negative binomial distribution pp. 1-22

- Yingying Yang, Niloufar Dousti Mousavi, Zhou Yu and Jie Yang
- Constructing the D-optimal four-by-four ranked set sampling design for location-scale estimation pp. 1-22

- Minmin Li, Wangxue Chen and A. M. Elsawah
- Generalized sliced space-filling design pp. 1-22

- Yuning Huang, Zikang Xiong and Hong Qin
- Estimation of relative risk, odds ratio and their logarithms with guaranteed accuracy and controlled sample size ratio pp. 1-55

- Luis Mendo
- Kendall correlation coefficient for order statistics pp. 1-9

- Alexei Stepanov and Valery B. Nevzorov
- Influence diagnostics in beta regression via Hellinger and Wasserstein distances pp. 1-28

- Francisco Cribari-Neto and Maria E. C. Justino
- Detecting dependence structure: visualization and inference pp. 1-28

- Bogdan Ćmiel and Teresa Ledwina
- Objective Bayesian approach for recall-based time-to-event studies: an application to breastfeeding data pp. 1-26

- Vikas Barnwal, C. P. Yadav and M. S. Panwar
- Robust matrix factor analysis based on a modified huber loss function pp. 1-61

- Xinyu Yuan and Fengkai Yang
- Cor: an R package for optimal subset selection in distributed estimation pp. 1-17

- Di Chang, Guangbao Guo and Lixing Zhu
- Comment on “Statistical inference for a step-stress partially-accelerated life test model with an adaptive Type-I progressively hybrid censored data from Weibull distribution” pp. 1-6

- T. S. Taher
- Statistical inference and optimal design for multiple constant-stress accelerated life tests under ordered ranked set sampling with progressive Type-II censoring pp. 1-33

- Haidy A. Newer
- Quantile Share Ratio Regression for the Study of Economic Inequality pp. 1-16

- Alessio Farcomeni
- Modeling long memory with zero-inflated geometric INAR(1) process and its $$\mathbb {Z}$$ Z -valued version pp. 1-39

- Yixuan Niu, Fukang Zhu and Yanqiu Yang
- Modified Greenwood statistic for multivariate Pareto and Student’s t distributions in application to statistical testing pp. 1-31

- Katarzyna Skowronek, Marek Arendarczyk and Agnieszka Wyłomańska
Volume 67, issue 2, 2026
- Estimation of random effects partially linear varying coefficient spatial error model with general temporally correlated individuals pp. 1-38

- Fen Li, Hao Chen and Bogui Li
- Estimation of distribution parameters by mean absolute deviations of a truncated distribution using quantile functions pp. 1-33

- Eugene Pinsky and Qifu Wen
- Block designs that provide optimal power in the Cochran–Mantel–Haenszel test pp. 1-14

- David Azriel, Adam Kapelner and Abba M. Krieger
- A model for underdispersed count data pp. 1-14

- Rose Baker
- A dynamic interaction varying index coefficient quantile regression model pp. 1-40

- Xiaowen Liang, Boping Tian and Lijian Yang
- Robust estimation for spatially varying-coefficient models pp. 1-32

- Wenjuan Ma, Xuejun Wang, Riquan Zhang and Hanbing Zhu
- A bias-corrected partial bernstein copula approach for nonparametric regression pp. 1-32

- Selim Orhun Susam
- Unbiased estimation of life-table quantities based on right-censored data under a specific sequential sampling plan pp. 1-17

- A. Rossa
- Fast and scalable variable selection for spatial autoregressive models pp. 1-35

- Michael Balzer
- Early detection of treatment’s acute side effect: A sequential approach pp. 1-24

- Jiayue Wang and Ben Boukai
- Threshold estimation under strong dependence pp. 1-24

- Jan Beran and Jeremy Näscher
- Estimation and inference for fixed center effects on panel count data pp. 1-31

- Weiwei Wang, Yijun Wang and Xiaobing Zhao
- Wrapped flat-top kernel density estimation with circular data pp. 1-25

- Yasuhito Tsuruta
- Minimum risk two-stage sequential point estimation of $$R=\mathbb {P}(X pp. 1-29

- Neeraj Joshi and Anirban Chakraborty
- A class of smooth transition $$\mathbb {Z}$$ Z -valued autoregressive model with signed binomial thinning pp. 1-29

- Tingting Zhang and Dehui Wang
- Variable selection of the spatial autoregressive model with covariate data missing at random pp. 1-34

- Yu Liu and Yuexin Fang
- Confidence intervals with imprecise data pp. 1-34

- Darío Tagarro, Raúl Pérez-Fernández and Enrique Miranda
- Robust and smooth estimation of the extreme tail index via weighted minimum density power divergence pp. 1-53

- Saida Mancer, Abdelhakim Necir and Djamel Meraghni
- Letter to the editors pp. 1-5

- Saralees Nadarajah and Tibor K. Pogány
- Identifying candidate secondary endpoints in semi-competing risk time-to-event data using an integrated analytical framework pp. 1-28

- Abhipsa Tripathy, Gajendra K. Vishwakarma and Atanu Bhattacharjee
- On flexible affine weighted Poisson models for count data pp. 1-23

- Srivatsa Vasudevan, Seng Huat Ong and Choung Min Ng
- Feature Screening for High-Dimensional Data with Measurement Errors using Adjusted Martingale Difference Correlation pp. 1-49

- Wei Liu, Wenbo Wu and Baoying Yang
Volume 67, issue 1, 2026
- Calibrated empirical likelihood for single-index varying coefficient spatial autoregressive models pp. 1-23

- Peixin Zhao, Xiaoyan Liu, Xinrong Tang, Suli Cheng and Xiaoshuang Zhou
- Testing for independence in high dimensions based on characteristic covariance pp. 1-28

- Xu Li, Bingcan Wang and Baoxue Zhang
- Phase I distribution-free control charts for individual observations using runs and patterns pp. 1-22

- Tung-Lung Wu
- Communication-efficient distributed composite quantile regression via convolution smoothing and poisson subsampling pp. 1-55

- Jun Jin and Qinghan Liang
- On equivalence of multistage experiments with restrictions in the randomization of treatments pp. 1-18

- Tena I. Katsaounis
- Stochastic copula modelling of multivariate Johnson’s Systems of Distribution pp. 1-21

- Ajibola Taiwo Sóyínká, Akin Adeseye Olósundé and Atinuke Olusola Adébánjí
- A regularized T-type estimator for high-dimensional data pp. 1-29

- Rui Zhang, Wan Tian, Bo Zhang and Hengjian Cui
- On high-dimensional classification by sparse generalized Bayesian logistic regression pp. 1-29

- The Tien Mai
- Modeling complex life systems: Bayesian inference for Weibull failure times using adaptive MCMC pp. 1-42

- Tobias Oketch and Mohammad Sepehrifar
- Modeling asymmetry in multi-way contingency tables with ordinal categories via f-divergence pp. 1-30

- Hisaya Okahara and Kouji Tahata
- A solution to the p-hacking problem with a general robust significance test under variance uncertainty pp. 1-30

- Xifeng Li, Shuzhen Yang and Jianfeng Yao
- Bayesian inference for the transmuted Rayleigh distribution: applications in behavioral data analysis pp. 1-37

- Muntazir Mehdi, Yen Liang Tung, Mirza Naveed Shahzad, Akbar Ali Khan, Nadeem Akhtar and Muteb Faraj Alharthi
- Marginally generalized asymmetric Laplace distributions pp. 1-43

- Amos Natido and Tomasz J. Kozubowski
- Correction: Stochastic variational inference for clustering short text data with finite mixtures of Dirichlet-Multinomial distributions pp. 1-2

- Massimo Bilancia, Andrea Nigri and Samuele Magro
- Estimation of functions of scale parameters for two gamma populations and applications to classification pp. 1-31

- Nabakumar Jana, Somesh Kumar, Neeraj Misra and Palaniappan Vellaisamy
- Logistic regression with covariate-dependent probability of misclassification pp. 1-20

- Péter Hársfalvi, Jan Klaschka and Jenő Reiczigel
- Adaptive elastic net penalized high-dimensional quantile regression models with generalized coordinate descent algorithm pp. 1-35

- Yiping Yang, Liugen Xue and Gaorong Li
- Testing high dimensional diagonal symmetry pp. 1-33

- Yong Wang and Reza Modarres
- Randomly censored partially linear varying coefficient model with functional single-index interactions pp. 1-47

- Yuye Zou, Yanping Hu, Hanbing Zhu and Riquan Zhang
- On distance functions in multiply robust estimation of population means pp. 1-17

- Tadayoshi Fushiki
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