Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 179, issue C, 2023

Multilevel mediation analysis with structured unmeasured mediator-outcome confounding

Yi Zhao and Xi Luo

A sparse additive model for high-dimensional interactions with an exposure variable

Sahir R. Bhatnagar, Tianyuan Lu, Amanda Lovato, David L. Olds, Michael S. Kobor, Michael J. Meaney, Kieran O'Donnell, Archer Y. Yang and Celia M.T. Greenwood

Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis

Xiaodi Wang and Hengzhen Huang

Online learning for the Dirichlet process mixture model via weakly conjugate approximation

Kuhwan Jeong, Minwoo Chae and Yongdai Kim

Sequential estimation of temporally evolving latent space network models

Kathryn Turnbull, Christopher Nemeth, Matthew Nunes and Tyler McCormick

Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones

Lena Schmid, Alexander Gerharz, Andreas Groll and Markus Pauly

Bayesian nonparametric hypothesis testing for longitudinal data analysis

Luz Adriana Pereira, Luis Gutiérrez, Daniel Taylor-Rodríguez and Ramsés H. Mena

Block-diagonal precision matrix regularization for ultra-high dimensional data

Yihe Yang, Hongsheng Dai and Jianxin Pan

Cluster-robust estimators for multivariate mixed-effects meta-regression

Thilo Welz, Wolfgang Viechtbauer and Markus Pauly

Variable screening based on Gaussian Centered L-moments

Hyowon An, Kai Zhang, Hannu Oja and J.S. Marron

Robust tests for scatter separability beyond Gaussianity

Seungkyu Kim, Seongoh Park, Johan Lim and Sang Han Lee

Clustering multivariate count data via Dirichlet-multinomial network fusion

Xin Zhao, Jingru Zhang and Wei Lin

Balancing covariates in multi-arm trials via adaptive randomization

Haoyu Yang, Yichen Qin, Fan Wang, Yang Li and Feifang Hu

Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping

Susan Anyosa, Jo Eidsvik and Oscar Pizarro

Smoothly varying regularization

Daeju Kim, Shuichi Kawano and Yoshiyuki Ninomiya

Nonparametric inference on smoothed quantile regression process

Meiling Hao, Yuanyuan Lin, Guohao Shen and Wen Su

A unified framework of multiply robust estimation approaches for handling incomplete data

Sixia Chen and David Haziza

Classification of social media users with generalized functional data analysis

Anthony Weishampel, Ana-Maria Staicu and William Rand

Robust multiscale estimation of time-average variance for time series segmentation

Euan T. McGonigle and Haeran Cho

Mean regression model for the zero-truncated Poisson distribution and its generalization

Xun-Jian Li, Yuan Sun, Guo-Liang Tian, Jiajuan Liang and Jianhua Shi

Mixture models with decreasing weights

Spyridon J. Hatjispyros, Christos Merkatas and Stephen G. Walker

A latent slice sampling algorithm

Yanxin Li and Stephen G. Walker

Data-driven stabilizations of goodness-of-fit tests

Alberto Fernández-de-Marcos and Eduardo García-Portugués

Efficient and feasible inference for high-dimensional normal copula regression models

Aristidis K. Nikoloulopoulos

Topology-based goodness-of-fit tests for sliced spatial data

Alessandra Cipriani, Christian Hirsch and Martina Vittorietti

Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system

Thanh Huan Vo, Guillaume Chauvet, André Happe, Emmanuel Oger, Stéphane Paquelet and Valérie Garès

Robust factored principal component analysis for matrix-valued outlier accommodation and detection

Xuan Ma, Jianhua Zhao, Yue Wang, Changchun Shang and Fen Jiang

A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant

Naomi E. Hannaford, Sarah E. Heaps, Tom M.W. Nye, Thomas P. Curtis, Ben Allen, Andrew Golightly and Darren J. Wilkinson

Volume 178, issue C, 2023

Fast Bayesian inference on spectral analysis of multivariate stationary time series

Zhixiong Hu and Raquel Prado

Robust prediction interval estimation for Gaussian processes by cross-validation method

Naoufal Acharki, Antoine Bertoncello and Josselin Garnier

Visualization and assessment of model selection uncertainty

Yichen Qin, Linna Wang, Yang Li and Rong Li

A Markov decision process for response-adaptive randomization in clinical trials

David Merrell, Thevaa Chandereng and Yeonhee Park

Prediction in functional regression with discretely observed and noisy covariates

Siegfried Hörmann and Fatima Jammoul

Grouped spatial autoregressive model

Danyang Huang, Wei Hu, Bingyi Jing and Bo Zhang

Smoothed tensor quantile regression estimation for longitudinal data

Baofang Ke, Weihua Zhao and Lei Wang

A robust spline approach in partially linear additive models

Graciela Boente and Alejandra Mercedes Martínez

The circular quantile residual

Ana C.C. Andrade, Gustavo H.A. Pereira and Rinaldo Artes

Hierarchical clustered multiclass discriminant analysis via cross-validation

Kei Hirose, Kanta Miura and Atori Koie

Shape-constrained estimation in functional regression with Bernstein polynomials

Rahul Ghosal, Sujit Ghosh, Jacek Urbanek, Jennifer A. Schrack and Vadim Zipunnikov

Optimal designs for semi-parametric dose-response models under random contamination

Jun Yu, Xiran Meng and Yaping Wang

Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum

Yangchun Zhang, Yirui Zhou and Xiaowei Liu

Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA

Nilanjan Chakraborty and Lyudmila Sakhanenko

Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures

Yuehan Yang, Siwei Xia and Hu Yang

Volume 177, issue C, 2023

Online non-parametric changepoint detection with application to monitoring operational performance of network devices

Edward Austin, Gaetano Romano, Idris A. Eckley and Paul Fearnhead

Shared Bayesian variable shrinkage in multinomial logistic regression

Md Nazir Uddin and Jeremy T. Gaskins

Assessment of the effect of constraints in a new multivariate mixed method for statistical matching

Juan Claramunt González, Arnout van Delden and Ton de Waal

Modeling and inference for multivariate time series of counts based on the INGARCH scheme

Sangyeol Lee, Dongwon Kim and Byungsoo Kim

Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density

Tucker McElroy and Agnieszka Jach

Sparse spatially clustered coefficient model via adaptive regularization

Yan Zhong, Huiyan Sang, Scott J. Cook and Paul M. Kellstedt

Mixture-based estimation of entropy

Stéphane Robin and Luca Scrucca

Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data

Konrad Abramowicz, Sara Sjöstedt de Luna and Johan Strandberg

Estimation for partial functional partially linear additive model

Qingguo Tang, Wei Tu and Linglong Kong

The dimension-wise quadrature estimation of dynamic latent variable models for count data

Silvia Bianconcini and Silvia Cagnone

Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator: Exploring the role of obesity in the association between cranial radiation therapy for childhood acute lymphoblastic leukemia treatment and the long-term risk of insulin resistance

Miguel Caubet, Mariia Samoilenko, Simon Drouin, Daniel Sinnett, Maja Krajinovic, Caroline Laverdière, Valérie Marcil and Geneviève Lefebvre

Parallel-and-stream accelerator for computationally fast supervised learning

Emily C. Hector, Lan Luo and Peter X.-K. Song