Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 192, issue C, 2024

Variable selection for high-dimensional incomplete data

Lixing Liang, Yipeng Zhuang and Philip L.H. Yu

Burn-in selection in simulating stationary time series

Yuanbo Li, Chu Kin Chan, Chun Yip Yau, Wai Leong Ng and Henry Lam

Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space

Hiroya Yamazoe and Kanta Naito

Efficient and robust optimal design for quantile regression based on linear programming

Cheng Peng, Drew P. Kouri and Stan Uryasev

A fast trans-lasso algorithm with penalized weighted score function

Xianqiu Fan, Jun Cheng, Hailing Wang, Bin Zhang and Zhenzhen Chen

Simultaneous inference and uniform test for eigensystems of functional data

Leheng Cai and Qirui Hu

Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression

Xiaofei Wu, Hao Ming, Zhimin Zhang and Zhenyu Cui

Estimation of l0 norm penalized models: A statistical treatment

Yuan Yang, Christopher S. McMahan, Yu-Bo Wang and Yuyuan Ouyang

Two-sample test of stochastic block models

Qianyong Wu and Jiang Hu

HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties

Cheng Wang, Haozhe Chen and Binyan Jiang

Robust and adaptive functional logistic regression

Ioannis Kalogridis

Hierarchical false discovery rate control for high-dimensional survival analysis with interactions

Weijuan Liang, Qingzhao Zhang and Shuangge Ma

Discrepancy between structured matrices in the power analysis of a separability test

Katarzyna Filipiak, Daniel Klein and Monika Mokrzycka

Graph-based spatial segmentation of areal data

Vivien Goepp and Jan van de Kassteele

A Laplace-based model with flexible tail behavior

Cristina Tortora, Brian C. Franczak, Luca Bagnato and Antonio Punzo

Subgroup detection based on partially linear additive individualized model with missing data in response

Tingting Cai, Jianbo Li, Qin Zhou, Songlou Yin and Riquan Zhang

Group variable selection via group sparse neural network

Xin Zhang and Junlong Zhao

Volume 191, issue C, 2024

Distributed debiased estimation of high-dimensional partially linear models with jumps

Yan-Yong Zhao, Yuchun Zhang, Yuan Liu and Noriszura Ismail

Nonparametric quantile scalar-on-image regression

Chuchu Wang and Xinyuan Song

Bayesian nonparametric Erlang mixture modeling for survival analysis

Yunzhe Li, Juhee Lee and Athanasios Kottas

Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data

Matthew J. Heaton, Benjamin K. Dahl, Caleb Dayley, Richard L. Warr and Philip White

Clustering-based inter-regional correlation estimation

Hanâ Lbath, Alexander Petersen, Wendy Meiring and Sophie Achard

Conditional-mean multiplicative operator models for count time series

Christian H. Weiß and Fukang Zhu

Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation

Christian Caamaño-Carrillo, Moreno Bevilacqua, Cristian López and Víctor Morales-Oñate

One point per cluster spatially balanced sampling

Blair Robertson and Chris Price

Bayesian boundary trend filtering

Takahiro Onizuka, Fumiya Iwashige and Shintaro Hashimoto

Nonparametric augmented probability weighting with sparsity

Xin He, Xiaojun Mao and Zhonglei Wang

Volume 190, issue C, 2024

Hybrid exact-approximate design approach for sparse functional data

Ming-Hung Kao and Ping-Han Huang

Recursive ridge regression using second-order stochastic algorithms

Antoine Godichon-Baggioni, Wei Lu and Bruno Portier

An RIHT statistic for testing the equality of several high-dimensional mean vectors under homoskedasticity

Qiuyan Zhang, Chen Wang, Baoxue Zhang and Hu Yang

Detecting change structures of nonparametric regressions

Wenbiao Zhao and Lixing Zhu

GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes

Mateus Maia, Keefe Murphy and Andrew C. Parnell

Laplace approximated quasi-likelihood method for heteroscedastic survival data

Lili Yu and Yichuan Zhao

Variables selection using L0 penalty

Tonglin Zhang

Fast same-step forecast in SUTSE model and its theoretical properties

Wataru Yoshida and Kei Hirose

Additive partially linear model for pooled biomonitoring data

Xichen Mou and Dewei Wang

Calibrated regression estimation using empirical likelihood under data fusion

Wei Li, Shanshan Luo and Wangli Xu

On the efficacy of higher-order spectral clustering under weighted stochastic block models

Xiao Guo, Hai Zhang and Xiangyu Chang

Volume 189, issue C, 2024

Subsampling spectral clustering for stochastic block models in large-scale networks

Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing and Bo Zhang

Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering

Jie Liu, Zifeng Ye, Kun Chen and Panpan Zhang

Dynamic risk score modeling for multiple longitudinal risk factors and survival

Cuihong Zhang, Jing Ning, Jianwen Cai, James E. Squires, Steven H. Belle and Ruosha Li

Full uncertainty analysis for Bayesian nonparametric mixture models

Blake Moya and Stephen G. Walker

Significance test for semiparametric conditional average treatment effects and other structural functions

Niwen Zhou, Xu Guo and Lixing Zhu

Likelihood-type confidence regions for optimal sensitivity and specificity of a diagnostic test

Gianfranco Adimari, Duc-Khanh To, Monica Chiogna, Francesca Scatozza and Antonio Facchiano

Joint modelling of the body and tail of bivariate data

L.M. André, J.L. Wadsworth and A. O'Hagan

Estimation of banded time-varying precision matrix based on SCAD and group lasso

Xiaonan Zhu, Yu Chen and Jie Hu

Testing the parametric form of the conditional variance in regressions based on distance covariance

Yue Hu, Haiqi Li and Falong Tan

Standard error estimates in hierarchical generalized linear models

Shaobo Jin and Youngjo Lee

Probability of default estimation in credit risk using mixture cure models

Rebeca Peláez, Ingrid Van Keilegom, Ricardo Cao and Juan M. Vilar

Volume 188, issue C, 2023

A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States

Soudeep Deb and Sayar Karmakar

Goodness-of-fit testing for normal mixture densities

Dimitrios Bagkavos and Prakash N. Patil

Bayesian multivariate nonlinear state space copula models

Alexander Kreuzer, Luciana Dalla Valle and Claudia Czado

Ensemble LDA via the modified Cholesky decomposition

Zhenguo Gao, Xinye Wang and Xiaoning Kang

Semi-profiled distributed estimation for high-dimensional partially linear model

Yajie Bao and Haojie Ren

Under-reported time-varying MINAR(1) process for modeling multivariate count series

Zeynab Aghabazaz and Iraj Kazemi

Regional quantile regression for multiple responses

Seyoung Park, Hyunjin Kim and Eun Ryung Lee

Bayesian modeling of spatial integer-valued time series

Cathy W.S. Chen, Chun-Shu Chen and Mo-Hua Hsiung