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 130, issue C, 2019
- Bootstrap estimation of uncertainty in prediction for generalized linear mixed models pp. 1-17

- Daniel Flores-Agreda and Eva Cantoni
- Mixtures of generalized hyperbolic distributions and mixtures of skew-t distributions for model-based clustering with incomplete data pp. 18-41

- Yuhong Wei, Yang Tang and Paul D. McNicholas
- Pursuit of dynamic structure in quantile additive models with longitudinal data pp. 42-60

- Xia Cui, Weihua Zhao, Heng Lian and Hua Liang
- Directed wavelet covariance pp. 61-79

- Kim Samejima, Pedro A. Morettin and João Ricardo Sato
- Latent Gaussian random field mixture models pp. 80-93

- David Bolin, Jonas Wallin and Finn Lindgren
- Two-step estimation of time-varying additive model for locally stationary time series pp. 94-110

- Lixia Hu, Tao Huang and Jinhong You
- The radial wavelet frame density estimator pp. 111-139

- E.S. García Treviño, V. Alarcón Aquino and J.A. Barria
Volume 129, issue C, 2019
- Bayesian multidimensional scaling procedure with variable selection pp. 1-13

- L. Lin and D.K.H. Fong
- Bayesian functional joint models for multivariate longitudinal and time-to-event data pp. 14-29

- Kan Li and Sheng Luo
- Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap pp. 30-46

- Thorsten Dickhaus and Natalia Sirotko-Sibirskaya
- Generalized additive partial linear models for analyzing correlated data pp. 47-60

- Roberto F. Manghi, Francisco José A. Cysneiros and Gilberto A. Paula
- Bayesian loss-based approach to change point analysis pp. 61-78

- Laurentiu C. Hinoveanu, Fabrizio Leisen and Cristiano Villa
- Robust tests for gene–environment interaction in case-control and case-only designs pp. 79-92

- Yong Zang, Wing Kam Fung, Sha Cao, Hon Keung Tony Ng and Chi Zhang
- Robust estimation and confidence interval in meta-regression models pp. 93-118

- Dalei Yu, Chang Ding, Na He, Ruiwu Wang, Xiaohua Zhou and Lei Shi
- Greedy active learning algorithm for logistic regression models pp. 119-134

- Hsiang-Ling Hsu, Yuan-chin Ivan Chang and Ray-Bing Chen
- Quantile regression for functional partially linear model in ultra-high dimensions pp. 135-147

- Haiqiang Ma, Ting Li, Hongtu Zhu and Zhongyi Zhu
Volume 128, issue C, 2018
- Exact balanced random imputation for sample survey data pp. 1-16

- Guillaume Chauvet and Wilfried Do Paco
- Generalized confidence interval for the scale parameter of the power-law process with incomplete failure data pp. 17-33

- Jularat Chumnaul and Mohammad Sepehrifar
- Factor-adjusted multiple testing of correlations pp. 34-47

- Lilun Du, Wei Lan, Ronghua Luo and Pingshou Zhong
- Measuring model misspecification: Application to propensity score methods with complex survey data pp. 48-57

- David Lenis, Benjamin Ackerman and Elizabeth A. Stuart
- Quasi-likelihood estimation of the single index conditional variance model pp. 58-72

- Hongfan Zhang
- Correspondence analysis and the Freeman–Tukey statistic: A study of archaeological data pp. 73-86

- Eric J. Beh, Rosaria Lombardo and Gianmarco Alberti
- Estimation and hypothesis test for partial linear multiplicative models pp. 87-103

- Jun Zhang, Zhenghui Feng and Heng Peng
- Inference on zero inflated ordinal models with semiparametric link pp. 104-115

- Ujjwal Das and Kalyan Das
- Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time pp. 116-127

- Chyong-Mei Chen, Pao-sheng Shen and Yi-Kuan Tseng
- ABC model selection for spatial extremes models applied to South Australian maximum temperature data pp. 128-144

- Xing Ju Lee, Markus Hainy, James P. McKeone, Christopher C. Drovandi and Anthony N. Pettitt
- Pairwise distance-based tests for conditional symmetry pp. 145-162

- Cuizhen Niu, Xu Guo, Yong Li and Lixing Zhu
- Sequential data assimilation for 1D self-exciting processes with application to urban crime data pp. 163-183

- N. Santitissadeekorn, M.B. Short and D.J.B. Lloyd
- ICS for multivariate outlier detection with application to quality control pp. 184-199

- Aurore Archimbaud, Klaus Nordhausen and Anne Ruiz-Gazen
- New efficient algorithms for multiple change-point detection with reproducing kernels pp. 200-220

- A. Celisse, G. Marot, M. Pierre-Jean and G.J. Rigaill
- Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo pp. 221-241

- Lampros Bouranis, Nial Friel and Florian Maire
- Feature screening for multi-response varying coefficient models with ultrahigh dimensional predictors pp. 242-254

- Jun Lu and Lu Lin
- Visualizing data through curvilinear representations of matrices pp. 255-270

- Daniel K. Sewell
- Likelihood-free inference in high dimensions with synthetic likelihood pp. 271-291

- Victor M.-H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson and Christopher C. Drovandi
- An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation pp. 292-307

- Peili Li and Yunhai Xiao
- Permutation tests for general dependent truncation pp. 308-324

- Sy Han Chiou, Jing Qian, Elizabeth Mormino and Rebecca A. Betensky
- Semiparametric double robust and efficient estimation for mean functionals with response missing at random pp. 325-339

- Xu Guo, Yun Fang, Xuehu Zhu, Wangli Xu and Lixing Zhu
- Generalized biplots for stress-based multidimensionally scaled projections pp. 340-353

- J.T. Fry, Matt Slifko and Scotland Leman
- A Gamma-frailty proportional hazards model for bivariate interval-censored data pp. 354-366

- Prabhashi W. Withana Gamage, Christopher S. McMahan, Lianming Wang and Wanzhu Tu
- Guaranteed conditional ARL performance in the presence of autocorrelation pp. 367-379

- Christian H. Weiß, Detlef Steuer, Carsten Jentsch and Murat Caner Testik
- Recurrence statistics for anomalous diffusion regime change detection pp. 380-394

- Grzegorz Sikora, Agnieszka Wyłomańska and Diego Krapf
- Optimal Bayesian clustering using non-negative matrix factorization pp. 395-411

- Ketong Wang and Michael D. Porter
Volume 127, issue C, 2018
- Copula based generalized additive models for location, scale and shape with non-random sample selection pp. 1-14

- Małgorzata Wojtyś, Giampiero Marra and Rosalba Radice
- Testing for central symmetry and inference of the unknown center pp. 15-31

- Xinjie Dai, Cuizhen Niu and Xu Guo
- Time-varying quantile single-index model for multivariate responses pp. 32-49

- Weihua Zhao, Yan Zhou and Heng Lian
- Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls pp. 50-68

- Nan Chen, Bradley P. Carlin and Brian P. Hobbs
- Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism pp. 69-81

- Huiqiong Li, Guoliang Tian, Niansheng Tang and Hongyuan Cao
- Estimating large covariance matrix with network topology for high-dimensional biomedical data pp. 82-95

- Shuo Chen, Jian Kang, Yishi Xing, Yunpeng Zhao and Donald K. Milton
- Testing k-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population pp. 96-115

- J. Giguelay and S. Huet
- Inference for differential equation models using relaxation via dynamical systems pp. 116-134

- Kyoungjae Lee, Jaeyong Lee and Sarat C. Dass
- Matching and clustering in square contingency tables. Who matches with whom in the Spanish labour market pp. 135-159

- Pablo Álvarez de Toledo, Fernando Núñez and Carlos Usabiaga
- Addressing overfitting and underfitting in Gaussian model-based clustering pp. 160-171

- Jeffrey L. Andrews
- Bayesian non-parametric simultaneous quantile regression for complete and grid data pp. 172-186

- Priyam Das and Subhashis Ghosal
- Sequential Bayesian inference for static parameters in dynamic state space models pp. 187-203

- Arnab Bhattacharya and Simon P. Wilson
- Classification tree methods for panel data using wavelet-transformed time series pp. 204-216

- Xin Zhao, Stuart Barber, Charles C. Taylor and Zoka Milan
- Optimal designs for dose–response models with linear effects of covariates pp. 217-228

- Jun Yu, Xiangshun Kong, Mingyao Ai and Kwok Leung Tsui
- Robust and parallel Bayesian model selection pp. 229-247

- Michael Minyi Zhang, Henry Lam and Lizhen Lin
- Asymptotic null distribution of the modified likelihood ratio test for homogeneity in finite mixture models pp. 248-257

- Tony S.T. Wong, Kwok Fai Lam and Victoria X. Zhao
- Jackknife empirical likelihood method for multiply robust estimation with missing data pp. 258-268

- Sixia Chen and David Haziza
- A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction pp. 269-280

- Weihua Zhao, Xuejun Jiang and Heng Lian
- Mode jumping MCMC for Bayesian variable selection in GLMM pp. 281-297

- Aliaksandr Hubin and Geir Storvik
- Wald-based spatial scan statistics for cluster detection pp. 298-310

- Ying Liu, Yawen Liu and Tonglin Zhang
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