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Computational Statistics & Data Analysis

1983 - 2023

Current editor(s): S.P. Azen

From Elsevier
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Volume 178, issue C, 2023

Fast Bayesian inference on spectral analysis of multivariate stationary time series Downloads
Zhixiong Hu and Raquel Prado
Robust prediction interval estimation for Gaussian processes by cross-validation method Downloads
Naoufal Acharki, Antoine Bertoncello and Josselin Garnier
Visualization and assessment of model selection uncertainty Downloads
Yichen Qin, Linna Wang, Yang Li and Rong Li
A Markov decision process for response-adaptive randomization in clinical trials Downloads
David Merrell, Thevaa Chandereng and Yeonhee Park
Prediction in functional regression with discretely observed and noisy covariates Downloads
Siegfried Hörmann and Fatima Jammoul
Grouped spatial autoregressive model Downloads
Danyang Huang, Wei Hu, Bingyi Jing and Bo Zhang
Smoothed tensor quantile regression estimation for longitudinal data Downloads
Baofang Ke, Weihua Zhao and Lei Wang
A robust spline approach in partially linear additive models Downloads
Graciela Boente and Alejandra Mercedes Martínez
The circular quantile residual Downloads
Ana C.C. Andrade, Gustavo H.A. Pereira and Rinaldo Artes
Hierarchical clustered multiclass discriminant analysis via cross-validation Downloads
Kei Hirose, Kanta Miura and Atori Koie
Shape-constrained estimation in functional regression with Bernstein polynomials Downloads
Rahul Ghosal, Sujit Ghosh, Jacek Urbanek, Jennifer A. Schrack and Vadim Zipunnikov
Optimal designs for semi-parametric dose-response models under random contamination Downloads
Jun Yu, Xiran Meng and Yaping Wang
Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum Downloads
Yangchun Zhang, Yirui Zhou and Xiaowei Liu
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA Downloads
Nilanjan Chakraborty and Lyudmila Sakhanenko
Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures Downloads
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 Downloads
Edward Austin, Gaetano Romano, Idris A. Eckley and Paul Fearnhead
Shared Bayesian variable shrinkage in multinomial logistic regression Downloads
Md Nazir Uddin and Jeremy T. Gaskins
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching Downloads
Juan Claramunt González, Arnout van Delden and Ton de Waal
Modeling and inference for multivariate time series of counts based on the INGARCH scheme Downloads
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 Downloads
Tucker McElroy and Agnieszka Jach
Sparse spatially clustered coefficient model via adaptive regularization Downloads
Yan Zhong, Huiyan Sang, Scott J. Cook and Paul M. Kellstedt
Mixture-based estimation of entropy Downloads
Stéphane Robin and Luca Scrucca
Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data Downloads
Konrad Abramowicz, Sara Sjöstedt de Luna and Johan Strandberg
Estimation for partial functional partially linear additive model Downloads
Qingguo Tang, Wei Tu and Linglong Kong
The dimension-wise quadrature estimation of dynamic latent variable models for count data Downloads
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 Downloads
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 Downloads
Emily C. Hector, Lan Luo and Peter X.-K. Song

Volume 176, issue C, 2022

Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres Downloads
Pier Giovanni Bissiri, Galatia Cleanthous, Xavier Emery, Bernardo Nipoti and Emilio Porcu
Smooth LASSO estimator for the Function-on-Function linear regression model Downloads
Fabio Centofanti, Matteo Fontana, Antonio Lepore and Simone Vantini
Time series graphical lasso and sparse VAR estimation Downloads
Aramayis Dallakyan, Rakheon Kim and Mohsen Pourahmadi
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis Downloads
Ivette Raices Cruz, Johan Lindström, Matthias C.M. Troffaes and Ullrika Sahlin
A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity Downloads
Lida Mavrogonatou, Yuxuan Sun, David S. Robertson and Sofía S. Villar
Vine copula statistical disclosure control for mixed-type data Downloads
Amanda M.Y. Chu, Chun Yin Ip, Benson S.Y. Lam and Mike K.P. So
On cross-distance selection algorithm for hybrid sufficient dimension reduction Downloads
Yujin Park, Kyongwon Kim and Jae Keun Yoo
Extremal quantile autoregression for heavy-tailed time series Downloads
Fengyang He, Huixia Judy Wang and Yuejin Zhou
Robust polytomous logistic regression Downloads
Julien Miron, Benjamin Poilane and Eva Cantoni
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation Downloads
Etienne Goffinet, Mustapha Lebbah, Hanane Azzag, Giraldi Loïc and Anthony Coutant
Agglomerative and divisive hierarchical Bayesian clustering Downloads
Elliot Burghardt, Daniel Sewell and Joseph Cavanaugh
High-dimensional robust regression with Lq-loss functions Downloads
Yibo Wang and Rohana J. Karunamuni

Volume 175, issue C, 2022

A unified framework on defining depth for point process using function smoothing Downloads
Zishen Xu, Chenran Wang and Wei Wu
Predicting times to event based on vine copula models Downloads
Shenyi Pan and Harry Joe
sJIVE: Supervised joint and individual variation explained Downloads
Elise F. Palzer, Christine H. Wendt, Russell P. Bowler, Craig P. Hersh, Sandra E. Safo and Eric F. Lock
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families Downloads
Feifei Chen, Jiménez–Gamero, M. Dolores, Simos Meintanis and Lixing Zhu
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models Downloads
Min Gao, Wenzhi Yang, Shipeng Wu and Wei Yu
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme Downloads
Danilo Petti, Alessia Eletti, Giampiero Marra and Rosalba Radice
Bootstrap confidence intervals for multiple change points based on moving sum procedures Downloads
Haeran Cho and Claudia Kirch
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study Downloads
Yuexia Zhang, Guoyou Qin, Zhongyi Zhu and Jiajia Zhang
Statistical inference of heterogeneous treatment effect based on single-index model Downloads
Sanying Feng, Kaidi Kong, Yinfei Kong, Gaorong Li and Zhaoliang Wang
A high dimensional dissimilarity measure Downloads
Reza Modarres

Volume 174, issue C, 2022

Efficient estimation in a partially specified nonignorable propensity score model Downloads
Mengyan Li, Yanyuan Ma and Jiwei Zhao
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics Downloads
Fatemeh Ghaderinezhad, Christophe Ley and Ben Serrien
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression Downloads
Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang, Jeff E. Mandel and Hau-Tieng Wu
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses Downloads
S. Faye Williamson, Peter Jacko and Thomas Jaki
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels Downloads
Guilllermo Granados-Garcia, Mark Fiecas, Shahbaba Babak, Norbert J. Fortin and Hernando Ombao
Gaussian graphical modeling for spectrometric data analysis Downloads
Laura Codazzi, Alessandro Colombi, Matteo Gianella, Raffaele Argiento, Lucia Paci and Alessia Pini
Estimation of the volume under a ROC surface in presence of covariates Downloads
Duc-Khanh To, Gianfranco Adimari and Monica Chiogna
Computing the asymptotic distribution of second-order U- and V-statistics Downloads
Raffaello Seri
Horseshoe shrinkage methods for Bayesian fusion estimation Downloads
Sayantan Banerjee
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment Downloads
Jonathan Embleton, Marina I. Knight and Hernando Ombao
Nonlinear predictive directions in clinical trials Downloads
Youngjoo Cho, Xiang Zhan and Debashis Ghosh
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices Downloads
Joris Chau and Rainer von Sachs
Outlier detection in multivariate functional data through a contaminated mixture model Downloads
Martial Amovin-Assagba, Irène Gannaz and Julien Jacques
Improved linear regression prediction by transfer learning Downloads
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude and Georges Oppenheim
High-dimensional causal mediation analysis based on partial linear structural equation models Downloads
Xizhen Cai, Yeying Zhu, Yuan Huang and Debashis Ghosh
A hierarchical testing procedure for three arm non-inferiority trials Downloads
Santu Ghosh, Wenge Guo and Samiran Ghosh
Support vector regression with penalized likelihood Downloads
Takumi Uemoto and Kanta Naito
A data-driven line search rule for support recovery in high-dimensional data analysis Downloads
Peili Li, Yuling Jiao, Xiliang Lu and Lican Kang
Markov-switching state-space models with applications to neuroimaging Downloads
David Degras, Chee-Ming Ting and Hernando Ombao
Robust fitting of mixture models using weighted complete estimating equations Downloads
Shonosuke Sugasawa and Genya Kobayashi
A roughness penalty approach to estimate densities over two-dimensional manifolds Downloads
Eleonora Arnone, Federico Ferraccioli, Clara Pigolotti and Laura M. Sangalli
GPU accelerated estimation of a shared random effect joint model for dynamic prediction Downloads
Shikun Wang, Zhao Li, Lan Lan, Jieyi Zhao, W. Jim Zheng and Liang Li
Likelihood-free inference with deep Gaussian processes Downloads
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander and Samuel Kaski
Independence index sufficient variable screening for categorical responses Downloads
Qingcong Yuan, Xianyan Chen, Chenlu Ke and Xiangrong Yin
Large-scale local surrogate modeling of stochastic simulation experiments Downloads
D. Austin Cole, Robert B. Gramacy and Mike Ludkovski
Page updated 2022-12-08