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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 Downloads
Justine Shults
High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood pp. 12-25 Downloads
Philip L.H. Yu, Xiaohang Wang and Yuanyuan Zhu
Weighted particle tempering pp. 26-37 Downloads
Marcos Carzolio and Scotland Leman
Fast smoothing in switching approximations of non-linear and non-Gaussian models pp. 38-46 Downloads
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini and Wojciech Pieczynski
Transforming response values in small area prediction pp. 47-60 Downloads
Shonosuke Sugasawa and Tatsuya Kubokawa
Homogeneity detection for the high-dimensional generalized linear model pp. 61-74 Downloads
Jong-June Jeon, Sunghoon Kwon and Hosik Choi
On two-stage Monte Carlo tests of composite hypotheses pp. 75-87 Downloads
Adrian Baddeley, Andrew Hardegen, Thomas Lawrence, Robin K. Milne, Gopalan Nair and Suman Rakshit
Ultrahigh dimensional feature screening via projection pp. 88-104 Downloads
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 Downloads
Chang Yu and Daniel Zelterman
Testing the hypothesis of increasing hazard ratio in two samples pp. 119-129 Downloads
Shyamsundar Sahoo and Debasis Sengupta
A family of block-wise one-factor distributions for modeling high-dimensional binary data pp. 130-145 Downloads
Matthieu Marbac and Mohammed Sedki
Testing homogeneity for multiple nonnegative distributions with excess zero observations pp. 146-157 Downloads
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 Downloads
A. Bertrand, C. Legrand, D. Léonard and I. Van Keilegom
Gradient boosting for high-dimensional prediction of rare events pp. 19-37 Downloads
Rok Blagus and Lara Lusa
A wild bootstrap approach for nonparametric repeated measurements pp. 38-52 Downloads
Sarah Friedrich, Frank Konietschke and Markus Pauly
An estimating equation for censored and truncated quantile regression pp. 53-63 Downloads
Paolo Frumento and Matteo Bottai
Self-controlled case series with multiple event types pp. 64-72 Downloads
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 Downloads
Santu Ghosh, Arpita Chatterjee and Samiran Ghosh
Causal inference with observational data under cluster-specific non-ignorable assignment mechanism pp. 88-99 Downloads
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 Downloads
Heinz Schmidli, Beat Neuenschwander and Tim Friede
Branching processes in continuous time as models of mutations: Computational approaches and algorithms pp. 111-124 Downloads
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 Downloads
Zheyu Wang, Krisztian Sebestyen and Sarah E. Monsell
A Bayesian adaptive design for clinical trials in rare diseases pp. 136-153 Downloads
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 Downloads
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 Downloads
Stefanie Muff, Manuela Ott, Julia Braun and Leonhard Held
T-optimal discriminating designs for Fourier regression models pp. 196-206 Downloads
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 Downloads
J.M. McGree
Model selection via Bayesian information capacity designs for generalised linear models pp. 226-238 Downloads
David C. Woods, James M. McGree and Susan M. Lewis
Model robust designs for survival trials pp. 239-250 Downloads
Maria Konstantinou, Stefanie Biedermann and Alan Kimber
Robustness of classical and optimal designs to missing observations pp. 251-260 Downloads
Byran J. Smucker, Willis Jensen, Zichen Wu and Bo Wang
Factorial and response surface designs robust to missing observations pp. 261-272 Downloads
Marcelo A. da Silva, Steven G. Gilmour and Luzia A. Trinca
Optimal designs for comparing regression models with correlated observations pp. 273-286 Downloads
Holger Dette, Kirsten Schorning and Maria Konstantinou
Computation of c-optimal designs for models with correlated observations pp. 287-296 Downloads
Juan M. Rodríguez-Díaz
Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses pp. 297-310 Downloads
Anthony C. Atkinson and Atanu Biswas
Automatic generation of generalised regular factorial designs pp. 311-329 Downloads
André Kobilinsky, Hervé Monod and R.A. Bailey
Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs pp. 330-345 Downloads
Ehsan Masoudi, Heinz Holling and Weng Kee Wong
Designing combined physical and computer experiments to maximize prediction accuracy pp. 346-362 Downloads
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 Downloads
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 Downloads
B. Gauthier and L. Pronzato
Median-based estimation of dynamic panel models with fixed effects pp. 398-423 Downloads
Geert Dhaene and Yu Zhu
Robust estimators under a functional common principal components model pp. 424-440 Downloads
Juan Lucas Bali and Graciela Boente
Student Sliced Inverse Regression pp. 441-456 Downloads
Alessandro Chiancone, Florence Forbes and Stéphane Girard
High dimensional Gaussian copula graphical model with FDR control pp. 457-474 Downloads
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 Downloads
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 Downloads
Kyu Ha Lee, Sounak Chakraborty and Jianguo Sun
A finite mixture of multiple discrete distributions for modelling heaped count data pp. 14-23 Downloads
Lluís Bermúdez, Dimitris Karlis and Miguel Santolino
Some copula inference procedures adapted to the presence of ties pp. 24-41 Downloads
Ivan Kojadinovic
An optimal data ordering scheme for Dirichlet process mixture models pp. 42-52 Downloads
Xue Wang and Stephen G. Walker
A Bayesian method for risk window estimation with application to HPV vaccine trial pp. 53-62 Downloads
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 Downloads
Jane Y. Nancy, Nehemiah H. Khanna and Kannan Arputharaj
Fitting parabolas in noisy images pp. 80-87 Downloads
Luis A. García-Escudero, Agustín Mayo-Iscar and Clara I. Sánchez-Gutiérrez
LogitBoost autoregressive networks pp. 88-98 Downloads
Marc Goessling
Bivariate copula additive models for location, scale and shape pp. 99-113 Downloads
Giampiero Marra and Rosalba Radice
Estimation and hypothesis test on partial linear models with additive distortion measurement errors pp. 114-128 Downloads
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 Downloads
Jing Lv, Chaohui Guo, Hu Yang and Yalian Li
Analysis of binary longitudinal data with time-varying effects pp. 145-153 Downloads
Seonghyun Jeong, Minjae Park and Taeyoung Park
The generalized moment estimation of the additive–multiplicative hazard model with auxiliary survival information pp. 154-169 Downloads
Wenpeng Shang and Xiao Wang
Bayesian variable selection for a semi-competing risks model with three hazard functions pp. 170-185 Downloads
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 Downloads
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 Downloads
M.F. Carfora, L. Cutillo and A. Orlando
Competing risk model with bivariate random effects for clustered survival data pp. 215-223 Downloads
Xin Lai, Kelvin K.W. Yau and Liu Liu
Sieve maximum likelihood estimation for the proportional hazards model under informative censoring pp. 224-234 Downloads
Xuerong Chen, Tao Hu and Jianguo Sun
Transformed contribution ratio test for the number of factors in static approximate factor models pp. 235-241 Downloads
Qiang Xia, Rubing Liang and Jianhong Wu
Simultaneous dimension reduction and variable selection in modeling high dimensional data pp. 242-256 Downloads
Joseph Ryan G. Lansangan and Erniel B. Barrios
Estimation of population proportion for judgment post-stratification pp. 257-269 Downloads
Ehsan Zamanzade and Xinlei Wang
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