Computational Statistics & Data Analysis

1983 - 2017

Current editor(s): S.P. Azen

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Volume 114, issue C, 2017

Simulating longer vectors of correlated binary random variables via multinomial sampling pp. 1-11

Justine Shults

High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood pp. 12-25

Philip L.H. Yu, Xiaohang Wang and Yuanyuan Zhu

Weighted particle tempering pp. 26-37

Marcos Carzolio and Scotland Leman

Fast smoothing in switching approximations of non-linear and non-Gaussian models pp. 38-46

Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini and Wojciech Pieczynski

Transforming response values in small area prediction pp. 47-60

Shonosuke Sugasawa and Tatsuya Kubokawa

Homogeneity detection for the high-dimensional generalized linear model pp. 61-74

Jong-June Jeon, Sunghoon Kwon and Hosik Choi

On two-stage Monte Carlo tests of composite hypotheses pp. 75-87

Adrian Baddeley, Andrew Hardegen, Thomas Lawrence, Robin K. Milne, Gopalan Nair and Suman Rakshit

Ultrahigh dimensional feature screening via projection pp. 88-104

Xingxiang Li, Guosheng Cheng, Liming Wang, Peng Lai and Fengli Song

A parametric model to estimate the proportion from true null using a distribution for p-values pp. 105-118

Chang Yu and Daniel Zelterman

Testing the hypothesis of increasing hazard ratio in two samples pp. 119-129

Shyamsundar Sahoo and Debasis Sengupta

A family of block-wise one-factor distributions for modeling high-dimensional binary data pp. 130-145

Matthieu Marbac and Mohammed Sedki

Testing homogeneity for multiple nonnegative distributions with excess zero observations pp. 146-157

Chunlin Wang, Paul Marriott and Pengfei Li

Volume 113, issue C, 2017

Robustness of estimation methods in a survival cure model with mismeasured covariates pp. 3-18

A. Bertrand, C. Legrand, D. Léonard and I. Van Keilegom

Gradient boosting for high-dimensional prediction of rare events pp. 19-37

Rok Blagus and Lara Lusa

A wild bootstrap approach for nonparametric repeated measurements pp. 38-52

Sarah Friedrich, Frank Konietschke and Markus Pauly

An estimating equation for censored and truncated quantile regression pp. 53-63

Paolo Frumento and Matteo Bottai

Self-controlled case series with multiple event types pp. 64-72

Yonas Ghebremichael-Weldeselassie, Heather J. Whitaker, Ian J. Douglas, Liam Smeeth and C. Paddy Farrington

Non-inferiority test based on transformations for non-normal distributions pp. 73-87

Santu Ghosh, Arpita Chatterjee and Samiran Ghosh

Causal inference with observational data under cluster-specific non-ignorable assignment mechanism pp. 88-99

Gi-Soo Kim, Myunghee Cho Paik and Hongsoo Kim

Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials pp. 100-110

Heinz Schmidli, Beat Neuenschwander and Tim Friede

Branching processes in continuous time as models of mutations: Computational approaches and algorithms pp. 111-124

Maroussia Slavtchova-Bojkova, Plamen Trayanov and Stoyan Dimitrov

Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests pp. 125-135

Zheyu Wang, Krisztian Sebestyen and Sarah E. Monsell

A Bayesian adaptive design for clinical trials in rare diseases pp. 136-153

S. Faye Williamson, Peter Jacko, Sofía S. Villar and Thomas Jaki

Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers pp. 154-176

Joong-Ho Won, Xiao Wu, Sang Han Lee and Ying Lu

Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland pp. 177-193

Stefanie Muff, Manuela Ott, Julia Braun and Leonhard Held

T-optimal discriminating designs for Fourier regression models pp. 196-206

Holger Dette, Viatcheslav B. Melas and Petr Shpilev

Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design pp. 207-225

J.M. McGree

Model selection via Bayesian information capacity designs for generalised linear models pp. 226-238

David C. Woods, James M. McGree and Susan M. Lewis

Model robust designs for survival trials pp. 239-250

Maria Konstantinou, Stefanie Biedermann and Alan Kimber

Robustness of classical and optimal designs to missing observations pp. 251-260

Byran J. Smucker, Willis Jensen, Zichen Wu and Bo Wang

Factorial and response surface designs robust to missing observations pp. 261-272

Marcelo A. da Silva, Steven G. Gilmour and Luzia A. Trinca

Optimal designs for comparing regression models with correlated observations pp. 273-286

Holger Dette, Kirsten Schorning and Maria Konstantinou

Computation of c-optimal designs for models with correlated observations pp. 287-296

Juan M. Rodríguez-Díaz

Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses pp. 297-310

Anthony C. Atkinson and Atanu Biswas

Automatic generation of generalised regular factorial designs pp. 311-329

André Kobilinsky, Hervé Monod and R.A. Bailey

Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs pp. 330-345

Ehsan Masoudi, Heinz Holling and Weng Kee Wong

Designing combined physical and computer experiments to maximize prediction accuracy pp. 346-362

Erin R. Leatherman, Angela M. Dean and Thomas J. Santner

Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete pp. 363-374

M.J. Rivas-López, R.C. Yu, J. López-Fidalgo and G. Ruiz

Convex relaxation for IMSE optimal design in random-field models pp. 375-394

B. Gauthier and L. Pronzato

Median-based estimation of dynamic panel models with fixed effects pp. 398-423

Geert Dhaene and Yu Zhu

Robust estimators under a functional common principal components model pp. 424-440

Juan Lucas Bali and Graciela Boente

Student Sliced Inverse Regression pp. 441-456

Alessandro Chiancone, Florence Forbes and Stéphane Girard

High dimensional Gaussian copula graphical model with FDR control pp. 457-474

Yong He, Xinsheng Zhang, Pingping Wang and Liwen Zhang

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers pp. 475-496

Antonello Maruotti and Antonio Punzo

Volume 112, issue C, 2017

Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior pp. 1-13

Kyu Ha Lee, Sounak Chakraborty and Jianguo Sun

A finite mixture of multiple discrete distributions for modelling heaped count data pp. 14-23

Lluís Bermúdez, Dimitris Karlis and Miguel Santolino

Some copula inference procedures adapted to the presence of ties pp. 24-41

Ivan Kojadinovic

An optimal data ordering scheme for Dirichlet process mixture models pp. 42-52

Xue Wang and Stephen G. Walker

A Bayesian method for risk window estimation with application to HPV vaccine trial pp. 53-62

Tian Fang, William Mackillop, Wenyu Jiang, Allan Hildesheim, Sholom Wacholder and Bingshu E. Chen

Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework pp. 63-79

Jane Y. Nancy, Nehemiah H. Khanna and Kannan Arputharaj

Fitting parabolas in noisy images pp. 80-87

Luis A. García-Escudero, Agustín Mayo-Iscar and Clara I. Sánchez-Gutiérrez

LogitBoost autoregressive networks pp. 88-98

Marc Goessling

Bivariate copula additive models for location, scale and shape pp. 99-113

Giampiero Marra and Rosalba Radice

Estimation and hypothesis test on partial linear models with additive distortion measurement errors pp. 114-128

Jun Zhang, Yan Zhou, Bingqing Lin and Yao Yu

A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data pp. 129-144

Jing Lv, Chaohui Guo, Hu Yang and Yalian Li

Analysis of binary longitudinal data with time-varying effects pp. 145-153

Seonghyun Jeong, Minjae Park and Taeyoung Park

The generalized moment estimation of the additive–multiplicative hazard model with auxiliary survival information pp. 154-169

Wenpeng Shang and Xiao Wang

Bayesian variable selection for a semi-competing risks model with three hazard functions pp. 170-185

Andrew G. Chapple, Marina Vannucci, Peter F. Thall and Steven Lin

Analysis of a fixed center effect additive rates model for recurrent event data pp. 186-197

Haijin He, Deng Pan, Liuquan Sun, Yimei Li, Leslie L. Robison and Xinyuan Song

A quantitative comparison of stochastic mortality models on Italian population data pp. 198-214

M.F. Carfora, L. Cutillo and A. Orlando

Competing risk model with bivariate random effects for clustered survival data pp. 215-223

Xin Lai, Kelvin K.W. Yau and Liu Liu

Sieve maximum likelihood estimation for the proportional hazards model under informative censoring pp. 224-234

Xuerong Chen, Tao Hu and Jianguo Sun

Transformed contribution ratio test for the number of factors in static approximate factor models pp. 235-241

Qiang Xia, Rubing Liang and Jianhong Wu

Simultaneous dimension reduction and variable selection in modeling high dimensional data pp. 242-256

Joseph Ryan G. Lansangan and Erniel B. Barrios

Estimation of population proportion for judgment post-stratification pp. 257-269

Ehsan Zamanzade and Xinlei Wang