Computational Statistics & Data Analysis

1983 - 2025

Current editor(s): S.P. Azen

From Elsevier
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Volume 150, issue C, 2020

Testing proportionality of two high-dimensional covariance matrices

Guanghui Cheng, Baisen Liu, Guoliang Tian and Shurong Zheng

Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions

Ray S.W. Chung, Mike K.P. So, Amanda M.Y. Chu and Thomas W.C. Chan

Partially functional linear regression in reproducing kernel Hilbert spaces

Xia Cui, Hongmei Lin and Heng Lian

A nested copula duration model for competing risks with multiple spells

Simon Lo, Enno Mammen and Ralf Wilke

Comparison of nonlinear curves and surfaces

Shi Zhao, Giorgos Bakoyannis, Spencer Lourens and Wanzhu Tu

Augmented quasi-sudoku designs in field trials

Nha Vo-Thanh and Hans-Peter Piepho

Generalized Co-clustering Analysis via Regularized Alternating Least Squares

Gen Li

Estimation of the Mann–Whitney effect in the two-sample problem under dependent censoring

Takeshi Emura and Jiun-Huang Hsu

Split sample empirical likelihood

Adam Jaeger and Nicole A. Lazar

Generalized kernel-based inverse regression methods for sufficient dimension reduction

Chuanlong Xie and Lixing Zhu

Block wild bootstrap-based CUSUM tests robust to high persistence and misspecification

Taewook Lee and Changryong Baek

Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data

Jun Young Park, Joerg Polzehl, Snigdhansu Chatterjee, André Brechmann and Mark Fiecas

Inferring time non-homogeneous Ornstein Uhlenbeck type stochastic process

G. Albano and V. Giorno

Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer ’s disease

Seong J. Yang, Hyejin Shin, Sang Han Lee and Seokho Lee

Superiority of Bayes estimators over the MLE in high dimensional multinomial models and its implication for nonparametric Bayes theory

Rabi Bhattacharya and Rachel Oliver

Completely monotone distributions: Mixing, approximation and estimation of number of species

Fadoua Balabdaoui and Yulia Kulagina

Volume 149, issue C, 2020

The LASSO on latent indices for regression modeling with ordinal categorical predictors

Francis K.C. Hui, Samuel Müller and A.H. Welsh

Bayesian nonparametric test for independence between random vectors

Zichen Ma and Timothy E. Hanson

Functional outlier detection and taxonomy by sequential transformations

Wenlin Dai, Tomáš Mrkvička, Ying Sun and Marc G. Genton

Rank dynamics for functional data

Yaqing Chen, Matthew Dawson and Hans-Georg Müller

Sampling a two dimensional matrix

Louis-Paul Rivest and Sergio Ewane Ebouele

Degrees of freedom and model selection for k-means clustering

David P. Hofmeyr

Feature screening under missing indicator imputation with non-ignorable missing response

Jing Zhang, Qihua Wang and Jian Kang

Online updating method to correct for measurement error in big data streams

JooChul Lee, HaiYing Wang and Elizabeth D. Schifano

Volume 148, issue C, 2020

Posterior inference for sparse hierarchical non-stationary models

Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade, Theodoros Damoulas and Mark Girolami

A simple test for zero multiple correlation coefficient in high-dimensional normal data using random projection

Dariush Najarzadeh

Automatic identification of curve shapes with applications to ultrasonic vocalization

Zhikun Gao, Yanlin Tang, Huixia Judy Wang, Guangying K. Wu and Jeff Lin

Primal path algorithm for compositional data analysis

Jong-June Jeon, Yongdai Kim, Sungho Won and Hosik Choi

Extending finite mixtures of t linear mixed-effects models with concomitant covariates

Yu-Chen Yang, Tsung-I Lin, Luis M. Castro and Wan-Lun Wang

Volume 147, issue C, 2020

On the inferential implications of decreasing weight structures in mixture models

Pierpaolo De Blasi, Asael Fabian Martínez, Ramsés H. Mena and Igor Prünster

General matching quantiles M-estimation

Shanshan Qin and Yuehua Wu

Joint model-free feature screening for ultra-high dimensional semi-competing risks data

Shuiyun Lu, Xiaolin Chen, Sheng Xu and Chunling Liu

Separating variables to accelerate non-convex regularized optimization

Wenchen Liu, Yincai Tang and Xianyi Wu

Cellwise robust M regression

P. Filzmoser, S. Höppner, I. Ortner, S. Serneels and T. Verdonck

Finding groups in structural equation modeling through the partial least squares algorithm

Mario Fordellone and Maurizio Vichi

Volume 146, issue C, 2020

Dimensionality determination: A thresholding double ridge ratio approach

Xuehu Zhu, Xu Guo, Tao Wang and Lixing Zhu

Design optimal sampling plans for functional regression models

Hyungmin Rha, Ming-Hung Kao and Rong Pan

New EM-type algorithms for the Heckman selection model

Jun Zhao, Hea-Jung Kim and Hyoung-Moon Kim

Multi-scale shotgun stochastic search for large spatial datasets

Daniel Kirsner and Bruno Sansó

Asymptotic distributions and performance of empirical skewness measures

Andreas Eberl and Bernhard Klar

Volume 145, issue C, 2020

Robust Bayesian small area estimation based on quantile regression

Enrico Fabrizi, Nicola Salvati and Carlo Trivisano

Estimation and inference for area-wise spatial income distributions from grouped data

Shonosuke Sugasawa, Genya Kobayashi and Yuki Kawakubo

Adjacency-based regularization for partially ranked data with non-ignorable missing

Kento Nakamura, Keisuke Yano and Fumiyasu Komaki

Modelling multilevel data under complex sampling designs: An empirical likelihood approach

Melike Oǧuz-Alper and Yves G. Berger

Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework

Wei Jiang, Julie Josse and Marc Lavielle

Specification tests in semiparametric transformation models — A multiplier bootstrap approach

Nick Kloodt and Natalie Neumeyer

Smooth backfitting for errors-in-variables varying coefficient regression models

Kyunghee Han, Young K. Lee and Byeong U. Park

Active learning in multiple-class classification problems via individualized binary models

Jingjing Li, Zimu Chen, Zhanfeng Wang and Yuan-chin Ivan Chang

A new approach to varying-coefficient additive models with longitudinal covariates

Xiaoke Zhang, Qixian Zhong and Jane-Ling Wang

Optimal spatial aggregation of space–time models and applications

Andrew Gehman and William W.S. Wei

Bias reduction in the population size estimation of large data sets

Jeffrey Chu, Yuanyuan Zhang, Stephen Chan and Saralees Nadarajah

Weighted quantile regression in varying-coefficient model with longitudinal data

Fangzheng Lin, Yanlin Tang and Zhongyi Zhu

Vertex nomination: The canonical sampling and the extended spectral nomination schemes

Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin, Donniell E. Fishkind, Carey Priebe and Vince Lyzinski

Bayesian empirical likelihood for ridge and lasso regressions

Adel Bedoui and Nicole A. Lazar

Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross process: An Approximate Bayesian Computation approach

Dwueng-Chwuan Jhwueng