Computational Statistics & Data Analysis
1983 - 2025
Current editor(s): S.P. Azen From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 80, issue C, 2014
- The bivariate Sinh-Elliptical distribution with applications to Birnbaum–Saunders distribution and associated regression and measurement error models pp. 1-16

- Filidor Vilca, N. Balakrishnan and Camila Borelli Zeller
- A Bayesian approach to estimating animal density from binary acoustic transects pp. 17-25

- Julie Horrocks and Matthew Rueffer
- The complexity of computation and approximation of the t-ratio over one-dimensional interval data pp. 26-43

- Michal Černý and Milan Hladík
- Minimum density power divergence estimator for Poisson autoregressive models pp. 44-56

- Jiwon Kang and Sangyeol Lee
- Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature pp. 57-69

- Thu Thuy Nguyen and France Mentré
- Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests pp. 70-77

- Jianwen Xu and You-Gan Wang
- Markov transition model to dementia with death as a competing event pp. 78-88

- Shaoceng Wei, Liou Xu and Richard J. Kryscio
- Notes on testing equality in binary data under a three period crossover design pp. 89-98

- Kung-Jong Lui, William G. Cumberland and Kuang-Chao Chang
- RMCMC: A system for updating Bayesian models pp. 99-110

- F. Din-Houn Lau and Axel Gandy
- Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models pp. 111-116

- Keunbaik Lee and Jae Keun Yoo
- Stable estimation of a covariance matrix guided by nuclear norm penalties pp. 117-128

- Eric C. Chi and Kenneth Lange
- Variable selection by Random Forests using data with missing values pp. 129-139

- A. Hapfelmeier and K. Ulm
- Robust estimation for survival partially linear single-index models pp. 140-152

- Xiaoguang Wang and Xinyong Shi
- Bounding rare event probabilities in computer experiments pp. 153-166

- Yves Auffray, Pierre Barbillon and Jean-Michel Marin
- A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice pp. 167-183

- Genya Kobayashi
- Stable computational methods for additive binomial models with application to adjusted risk differences pp. 184-196

- Mark W. Donoghoe and Ian C. Marschner
- Partially linear structure identification in generalized additive models with NP-dimensionality pp. 197-208

- Heng Lian, Pang Du, YuanZhang Li and Hua Liang
- Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm pp. 209-222

- Florian Rohart, Magali San Cristobal and Béatrice Laurent
- Variational inferences for partially linear additive models with variable selection pp. 223-239

- Kaifeng Zhao and Heng Lian
- Efficient MCMC for temporal epidemics via parameter reduction pp. 240-250

- Fei Xiang and Peter Neal
Volume 78, issue C, 2014
- Center-within-trial versus trial-level evaluation of surrogate endpoints pp. 1-20

- Lindsay A. Renfro, Qian Shi, Yuan Xue, Junlong Li, Hongwei Shang and Daniel J. Sargent
- Statistical inference for the geometric distribution based on δ-records pp. 21-32

- Raúl Gouet, F. Javier López, Lina P. Maldonado and Gerardo Sanz
- M-regression, false discovery rates and outlier detection with application to genetic association studies pp. 33-42

- V.M. Lourenço and A.M. Pires
- Testing proportionality of two large-dimensional covariance matrices pp. 43-55

- Lin Xu, Baisen Liu, Shurong Zheng and Shaokun Bao
- Bayesian nonparametric classification for spectroscopy data pp. 56-68

- Luis Gutiérrez, Eduardo Gutiérrez-Peña and Ramsés H. Mena
- Three-group ROC analysis: A nonparametric predictive approach pp. 69-81

- Tahani Coolen-Maturi, Faiza F. Elkhafifi and Frank P.A. Coolen
- Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling pp. 82-99

- S. Trevezas, S. Malefaki and P.-H. Cournède
- Modeling rating data with Nonlinear CUB models pp. 100-118

- Marica Manisera and Paola Zuccolotto
- Efficient classification for longitudinal data pp. 119-134

- Xianlong Wang and Annie Qu
- Model based on skew normal distribution for square contingency tables with ordinal categories pp. 135-140

- Kouji Yamamoto and Hidetoshi Murakami
- A modified conditional Metropolis–Hastings sampler pp. 141-152

- Alicia A. Johnson and James M. Flegal
- Fast highly efficient and robust one-step M-estimators of scale based on Qn pp. 153-158

- Pavel O. Smirnov and Georgy L. Shevlyakov
- Small area prediction for a unit-level lognormal model pp. 159-175

- Emily Berg and Hukum Chandra
- Variable and boundary selection for functional data via multiclass logistic regression modeling pp. 176-185

- Hidetoshi Matsui
- Transformation-based estimation pp. 186-205

- Zhenghui Feng, Tao Wang and Lixing Zhu
- Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation pp. 206-217

- Kaibo Wang, Arthur B. Yeh and Bo Li
- A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density pp. 218-234

- Xibin Zhang, Maxwell King and Han Lin Shang
- On infimum Dickey–Fuller unit root tests allowing for a trend break under the null pp. 235-242

- David Harvey, Stephen Leybourne and Robert Taylor
Volume 77, issue C, 2014
- Joint inference about sensitivity and specificity at the optimal cut-off point associated with Youden index pp. 1-13

- Jingjing Yin and Lili Tian
- Exact sequential test of equivalence hypothesis based on bivariate non-central t-statistics pp. 14-24

- Fang Liu and Qing Li
- Fast approximate L∞ minimization: Speeding up robust regression pp. 25-37

- Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel and Zhenmin Tang
- A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis pp. 38-53

- Michael J. Brusco
- On the use of marginal posteriors in marginal likelihood estimation via importance sampling pp. 54-69

- Konstantinos Perrakis, Ioannis Ntzoufras and Mike Tsionas
- GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN pp. 70-83

- Nazanin Nooraee, Geert Molenberghs and Edwin R. van den Heuvel
- A Bayesian mixture of lasso regressions with t-errors pp. 84-97

- Alberto Cozzini, Ajay Jasra, Giovanni Montana and Adam Persing
- Multivariate distributions with proportional reversed hazard marginals pp. 98-112

- Debasis Kundu, Manuel Franco and Juana-Maria Vivo
- Semiparametric Bayesian joint models of multivariate longitudinal and survival data pp. 113-129

- Nian-Sheng Tang, An-Min Tang and Dong-Dong Pan
- Strong consistency and rates of convergence for a random estimator of a fuzzy set pp. 130-145

- Pedro Terán and Miguel López-Díaz
- Variable assessment in latent class models pp. 146-156

- Q. Zhang and E.H. Ip
- Sample size determination for estimating prevalence and a difference between two prevalences of sensitive attributes using the non-randomized triangular design pp. 157-169

- Shi-Fang Qiu, G.Y. Zou and Man-Lai Tang
- Partially linear modeling of conditional quantiles using penalized splines pp. 170-187

- Chaojiang Wu and Yan Yu
- Statistical inference for population quantiles and variance in judgment post-stratified samples pp. 188-205

- Omer Ozturk
- Semi-parametric estimation of Brown–Proschan preventive maintenance effects and intrinsic wear-out pp. 206-222

- Luc Doyen
- Screening active factors in supersaturated designs pp. 223-232

- Ujjwal Das, Sudhir Gupta and Shuva Gupta
- Parsimonious parameterization of correlation matrices using truncated vines and factor analysis pp. 233-251

- Eike C. Brechmann and Harry Joe
- Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach pp. 252-266

- Changzhang Wang, You Zhou, Qiang Zhao and Zhi Geng
- Compound Poisson INAR(1) processes: Stochastic properties and testing for overdispersion pp. 267-284

- Sebastian Schweer and Christian H. Weiß
- A new sliced inverse regression method for multivariate response pp. 285-299

- R. Coudret, S. Girard and J. Saracco
- Making classifier performance comparisons when ROC curves intersect pp. 300-312

- Chiara Gigliarano, Silvia Figini and Pietro Muliere
- Nonparametric additive model with grouped lasso and maximizing area under the ROC curve pp. 313-325

- Sungwoo Choi and Junyong Park
- Mixtures of skew-t factor analyzers pp. 326-335

- Paula M. Murray, Ryan P. Browne and Paul D. McNicholas
- Monotone splines lasso pp. 336-351

- Linn Cecilie Bergersen, Kukatharmini Tharmaratnam and Ingrid K. Glad
- Adaptive likelihood ratio approaches for the detection of space–time disease clusters pp. 352-370

- Max Sousa de Lima and Luiz Henrique Duczmal
- Asymmetric ν-tube support vector regression pp. 371-382

- Xiaolin Huang, Lei Shi, Kristiaan Pelckmans and Johan A.K. Suykens
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