Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 159, issue C, 2021

A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling

Stéphanie Allassonnière and Juliette Chevallier

Subgroup causal effect identification and estimation via matching tree

Yuyang Zhang, Patrick Schnell, Chi Song, Bin Huang and Bo Lu

Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables

Sebastian Fuchs, F. Marta L. Di Lascio and Fabrizio Durante

Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method

J. Lars Kirkby, Álvaro Leitao and Duy Nguyen

Deep distribution regression

Rui Li, Brian J. Reich and Howard D. Bondell

Hypothesis testing of varying coefficients for regional quantiles

Seyoung Park and Eun Ryung Lee

Tuning-free ridge estimators for high-dimensional generalized linear models

Shih-Ting Huang, Fang Xie and Johannes Lederer

Censored mean variance sure independence screening for ultrahigh dimensional survival data

Wei Zhong, Jiping Wang and Xiaolin Chen

Hidden semi-Markov-switching quantile regression for time series

Antonello Maruotti, Lea Petrella and Luca Sposito

Tests for differential Gaussian Bayesian networks based on quadratic inference functions

Xianzheng Huang and Hongmei Zhang

Promote sign consistency in the joint estimation of precision matrices

Qingzhao Zhang, Shuangge Ma and Yuan Huang

Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States

Tonglin Zhang and Ge Lin

Ensemble sparse estimation of covariance structure for exploring genetic disease data

Xiaoning Kang and Mingqiu Wang

Volume 158, issue C, 2021

Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection

Yizeng He, Soyoung Kim, Mi-Ok Kim, Wael Saber and Kwang Woo Ahn

Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination

Masao Ueki

Unsupervised image segmentation with Gaussian Pairwise Markov Fields

Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini and Christophe Collet

A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations

Saint-Clair Chabert-Liddell, Pierre Barbillon, Sophie Donnet and Emmanuel Lazega

Variable selection in finite mixture of regression models with an unknown number of components

Kuo-Jung Lee, Martin Feldkircher and Yi-Chi Chen

Estimating robot strengths with application to selection of alliance members in FIRST robotics competitions

Alejandro Lim, Chin-Tsang Chiang and Jen-Chieh Teng

Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions

Elham Mirfarah, Mehrdad Naderi and Ding-Geng Chen

Explicit-duration Hidden Markov Models for quantum state estimation

Alessandra Luati and Marco Novelli

Computation of projection regression depth and its induced median

Yijun Zuo

Confidence intervals for spatial scan statistic

Ivair R. Silva, Luiz Duczmal and Martin Kulldorff

Robust variable selection for model-based learning in presence of adulteration

Andrea Cappozzo, Francesca Greselin and Thomas Brendan Murphy

Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures

Ksenia Kasianova, Mark Kelbert and Pavel Mozgunov

Robust designs for dose–response studies: Model and labelling robustness

Douglas P. Wiens

Clustering with the Average Silhouette Width

Fatima Batool and Christian Hennig

High dimensional regression for regenerative time-series: An application to road traffic modeling

Mohammed Bouchouia and François Portier

Clusterwise functional linear regression models

Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu and Zhongyi Zhu

Volume 157, issue C, 2021

Fast inference for semi-varying coefficient models via local averaging

Heng Peng, Chuanlong Xie and Jingxin Zhao

Generalized co-sparse factor regression

Aditya Mishra, Dipak K. Dey, Yong Chen and Kun Chen

Semiparametric quantile regression using family of quantile-based asymmetric densities

Irène Gijbels, Rezaul Karim and Anneleen Verhasselt

Kendall regression coefficient

Eckhard Liebscher

Robustness of cost-effectiveness analyses of cluster randomized trials assuming bivariate normality against skewed cost data

Md Abu Manju, Math J.J.M. Candel and Gerard J.P. van Breukelen

A non-parametric test for comparing conditional ROC curves

Arís Fanjul-Hevia, Wenceslao González-Manteiga and Juan Carlos Pardo-Fernández

A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations

Paul T. Brown, Chaitanya Joshi, Stephen Joe and Håvard Rue

Embedding and learning with signatures

Adeline Fermanian

Support vector subset scan for spatial pattern detection

Dylan Fitzpatrick, Yun Ni and Daniel B. Neill

Compromise design for combination experiment of two drugs

Hengzhen Huang and Xueping Chen

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms

Samuel Wiqvist, Andrew Golightly, Ashleigh T. McLean and Umberto Picchini

Fast Bayesian estimation of spatial count data models

Prateek Bansal, Rico Krueger and Daniel J. Graham

Estimation of high dimensional factor model with multiple threshold-type regime shifts

Jianhong Wu

Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates

Ping Zhou, Zhen Yu, Jingyi Ma, Maozai Tian and Ye Fan

A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies

Qian Xiao and Hongquan Xu

Gaussian Bayesian network comparisons with graph ordering unknown

Hongmei Zhang, Xianzheng Huang, Shengtong Han, Faisal I. Rezwan, Wilfried Karmaus, Hasan Arshad and John W. Holloway

Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease

Mingyue Du, Huiqiong Li and Jianguo Sun

SIMEX estimation in parametric modal regression with measurement error

Jianhong Shi, Yujing Zhang, Ping Yu and Weixing Song

Two-sample tests for multivariate functional data with applications

Zhiping Qiu, Jianwei Chen and Jin-Ting Zhang

Regression analysis of asynchronous longitudinal data with informative observation processes

Dayu Sun, Hui Zhao and Jianguo Sun

A flexible factor analysis based on the class of mean-mixture of normal distributions

Farzane Hashemi, Mehrdad Naderi, Ahad Jamalizadeh and Andriette Bekker

Community detection via an efficient nonconvex optimization approach based on modularity

Quan Yuan and Binghui Liu

Principal component analysis using frequency components of multivariate time series

Raanju R. Sundararajan

Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids

Jian Cao, Marc G. Genton, David E. Keyes and George M. Turkiyyah

Approximate computation of projection depths

Rainer Dyckerhoff, Pavlo Mozharovskyi and Stanislav Nagy

Normal variance mixtures: Distribution, density and parameter estimation

Erik Hintz, Marius Hofert and Christiane Lemieux

Partition-based feature screening for categorical data via RKHS embeddings

Jun Lu, Lu Lin and WenWu Wang

An exchange algorithm for optimal calibration of items in computerized achievement tests

Mahmood Ul Hassan and Frank Miller