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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 118, issue C, 2018
- Accelerating pseudo-marginal MCMC using Gaussian processes pp. 1-17

- Christopher C. Drovandi, Matthew T. Moores and Richard J. Boys
- A new non-parametric estimator for instant system availability pp. 18-29

- Kai Huang and Jie Mi
- Signed sequential rank CUSUMs pp. 30-39

- F. Lombard and C. van Zyl
- Generating random variates from PDF of Gauss–Markov processes with a reflecting boundary pp. 40-53

- A. Buonocore, A.G. Nobile and E. Pirozzi
- Sample size determination for high dimensional parameter estimation with application to biomarker identification pp. 54-65

- Binyan Jiang and Jialiang Li
- Estimation and testing for time-varying quantile single-index models with longitudinal data pp. 66-83

- Jianbo Li, Heng Lian, Xuejun Jiang and Xinyuan Song
- Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions pp. 84-97

- Ping-Yang Chen, Ray-Bing Chen and C. Devon Lin
- Robust multistratum baseline designs pp. 98-111

- Chang-Yun Lin and Po Yang
- Consistent test for parametric models with right-censored data using projections pp. 112-125

- Zhihua Sun, Xue Ye and Liuquan Sun
- Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses pp. 126-137

- Haocheng Li, Di Shu, Yukun Zhang and Grace Y. Yi
Volume 117, issue C, 2018
- Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random pp. 1-18

- Yu Shen and Han-Ying Liang
- Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation pp. 19-31

- Junyong Park
- Network linear discriminant analysis pp. 32-44

- Wei Cai, Guoyu Guan, Rui Pan, Xuening Zhu and Hansheng Wang
- Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion pp. 45-61

- Mahdi Roozbeh
- Order restricted inference of a multiple step-stress model pp. 62-75

- Debashis Samanta and Debasis Kundu
- Informativeness of diagnostic marker values and the impact of data grouping pp. 76-89

- Hua Ma, Andriy I. Bandos and David Gur
- Improved distributed particle filters for tracking in a wireless sensor network pp. 90-108

- Kai Kang, Vasileios Maroulas, Ioannis Schizas and Feng Bao
- Vine copula based likelihood estimation of dependence patterns in multivariate event time data pp. 109-127

- Nicole Barthel, Candida Geerdens, Matthias Killiches, Paul Janssen and Claudia Czado
- Testing independence in high dimensions using Kendall’s tau pp. 128-137

- Guangyu Mao
- Spatial data compression via adaptive dispersion clustering pp. 138-153

- Yuliya Marchetti, Hai Nguyen, Amy Braverman and Noel Cressie
- A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure pp. 154-161

- Radu V. Craiu and Thierry Duchesne
- Dual-semiparametric regression using weighted Dirichlet process mixture pp. 162-181

- Peng Sun, Inyoung Kim and Ki-Ahm Lee
- Optimal experimental designs for estimating the drug combination index in toxicology pp. 182-193

- T. Holland-Letz and A. Kopp-Schneider
- Regression analysis for the proportional hazards model with parameter constraints under case-cohort design pp. 194-206

- Lifeng Deng, Jieli Ding, Yanyan Liu and Chengdong Wei
Volume 116, issue C, 2017
- Trace regression model with simultaneously low rank and row(column) sparse parameter pp. 1-18

- Junlong Zhao, Lu Niu and Shushi Zhan
- Detection of influential points as a byproduct of resampling-based variable selection procedures pp. 19-31

- Riccardo De Bin, Anne-Laure Boulesteix and Willi Sauerbrei
- Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models pp. 32-48

- David A. Rolls and Garry Robins
- A continuous threshold expectile model pp. 49-66

- Feipeng Zhang and Qunhua Li
- Non-area-specific adjustment factor for second-order efficient empirical Bayes confidence interval pp. 67-78

- Masayo Yoshimori Hirose
- On discrete Epanechnikov kernel functions pp. 79-105

- Chi-Yang Chu, Daniel Henderson and Christopher Parmeter
- Constrained center and range joint model for interval-valued symbolic data regression pp. 106-138

- Peng Hao and Junpeng Guo
- Identification of relevant subtypes via preweighted sparse clustering pp. 139-154

- Sheila Gaynor and Eric Bair
Volume 115, issue C, 2017
- Smoothed empirical likelihood for the Youden index pp. 1-10

- Dongliang Wang, Lili Tian and Yichuan Zhao
- Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition pp. 11-20

- Song Li, Geoffrey K.F. Tso and Lufan Long
- Functional data classification using covariate-adjusted subspace projection pp. 21-34

- Pai-Ling Li, Jeng-Min Chiou and Yu Shyr
- Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables pp. 35-52

- Timothy Hayes and John J. McArdle
- Classification trees for poverty mapping pp. 53-66

- Penny Bilton, Geoff Jones, Siva Ganesh and Steve Haslett
- Sufficient dimension reduction using Hilbert–Schmidt independence criterion pp. 67-78

- Yuan Xue, Nan Zhang, Xiangrong Yin and Haitao Zheng
- Bayesian D-optimal screening experiments with partial replication pp. 79-90

- Robert D. Leonard and David J. Edwards
- The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation pp. 91-102

- Markus Frölich, Martin Huber and Manuel Wiesenfarth
- Estimation of partially linear regression models under the partial consistency property pp. 103-121

- Xia Cui, Ying Lu and Heng Peng
- A novel method for estimating the common signals for consensus across multiple ranked lists pp. 122-135

- Vendula Švendová and Michael G. Schimek
- Two-layer EM algorithm for ALD mixture regression models: A new solution to composite quantile regression pp. 136-154

- Shangshan Wang and Liming Xiang
- Optimal scaling for survival analysis with ordinal data pp. 155-171

- S.J.W. Willems, M. Fiocco and J.J. Meulman
- Estimation of reliability with semi-parametric modeling of degradation pp. 172-185

- Prajamitra Bhuyan and Debasis Sengupta
- Lasso, fractional norm and structured sparse estimation using a Hadamard product parametrization pp. 186-198

- Peter D. Hoff
- Numerical implementation of the QuEST function pp. 199-223

- Olivier Ledoit and Michael Wolf
- An algorithmic framework for generating optimal two-stratum experimental designs pp. 224-249

- Daniel Palhazi Cuervo, Peter Goos and Kenneth Sörensen
- On hyperbolic transformations to normality pp. 250-266

- Arthur C. Tsai, Michelle Liou, Maria Simak and Philip E. Cheng
- ARMA Cholesky factor models for the covariance matrix of linear models pp. 267-280

- Keunbaik Lee, Changryong Baek and Michael J. Daniels
- Function compositional adjustments of conditional quantile curves pp. 281-293

- Anthony Y.C. Kuk
| |