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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 197, issue C, 2024
- CR-Lasso: Robust cellwise regularized sparse regression

- Peng Su, Garth Tarr, Samuel Muller and Suojin Wang
- FDR control for linear log-contrast models with high-dimensional compositional covariates

- Panxu Yuan, Changhan Jin and Gaorong Li
- Bayesian simultaneous factorization and prediction using multi-omic data

- Sarah Samorodnitsky, Chris H. Wendt and Eric F. Lock
- Transfer learning via random forests: A one-shot federated approach

- Pengcheng Xiang, Ling Zhou and Lu Tang
- Empirical Bayes Poisson matrix completion

- Xiao Li, Takeru Matsuda and Fumiyasu Komaki
- A switching state-space transmission model for tracking epidemics and assessing interventions

- Jingxue Feng and Liangliang Wang
- Rank-based sequential feature selection for high-dimensional accelerated failure time models with main and interaction effects

- Ke Yu and Shan Luo
- Goodness–of–fit tests based on the min–characteristic function

- S.G. Meintanis, B. Milošević and Jiménez–Gamero, M.D.
- Gibbs sampler approach for objective Bayesian inference in elliptical multivariate meta-analysis random effects model

- Olha Bodnar and Taras Bodnar
- Online bootstrap inference for the geometric median

- Guanghui Cheng, Qiang Xiong and Ruitao Lin
Volume 196, issue C, 2024
- Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler

- Jiayu Qian, Yuanyuan Liu, Jingya Yang and Qingping Zhou
- A mixture of logistic skew-normal multinomial models

- Wangshu Tu, Ryan Browne and Sanjeena Subedi
- Variable selection in Bayesian multiple instance regression using shotgun stochastic search

- Seongoh Park, Joungyoun Kim, Xinlei Wang and Johan Lim
- Sufficient dimension reduction for a novel class of zero-inflated graphical models

- Eric Koplin, Liliana Forzani, Diego Tomassi and Ruth M. Pfeiffer
- Variable selection using data splitting and projection for principal fitted component models in high dimension

- Seungchul Baek, Park Hoyoung and Junyong Park
- Bayesian taut splines for estimating the number of modes

- José E. Chacón and Javier Fernández Serrano
- Heterogeneous Treatment Effect-based Random Forest: HTERF

- Bérénice-Alexia Jocteur, Véronique Maume-Deschamps and Pierre Ribereau
- Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates

- Sylvain Barde
Volume 195, issue C, 2024
- Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss

- Xiefang Lin and Fang Fang
- Pairwise share ratio interpretations of compositional regression models

- Lukas Dargel and Christine Thomas-Agnan
- A semiparametric model for the cause-specific hazard under risk proportionality

- Simon Lo, Ralf Wilke and Takeshi Emura
- A new algorithm for inference in HMM's with lower span complexity

- Diogo Pereira, Cláudia Nunes and Rui Rodrigues
- Multi-task learning regression via convex clustering

- Akira Okazaki and Shuichi Kawano
- Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model

- Wenting Liu, Huiqiong Li, Niansheng Tang and Jun Lyu
- Semiparametric accelerated failure time models under unspecified random effect distributions

- Byungtae Seo and Il Do Ha
Volume 194, issue C, 2024
- A simple approach for local and global variable importance in nonlinear regression models

- Emily T. Winn-Nuñez, Maryclare Griffin and Lorin Crawford
- A unified framework of analyzing missing data and variable selection using regularized likelihood

- Yuan Bian, Grace Y. Yi and Wenqing He
- Robust heavy-tailed versions of generalized linear models with applications in actuarial science

- Philippe Gagnon and Yuxi Wang
- Heterogeneous quantile regression for longitudinal data with subgroup structures

- Zhaohan Hou and Lei Wang
- Goodness-of-fit test for point processes first-order intensity

- M.I. Borrajo, W. González-Manteiga and M.D. Martínez-Miranda
- Flexible regularized estimation in high-dimensional mixed membership models

- Nicholas Marco, Damla Şentürk, Shafali Jeste, Charlotte C. DiStefano, Abigail Dickinson and Donatello Telesca
- Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling

- Penghui Fu and Zhiqiang Tan
- Parameter estimation and random number generation for student Lévy processes

- Shuaiyu Li, Yunpei Wu and Yuzhong Cheng
- Factor selection in screening experiments by aggregation over random models

- Rakhi Singh and John Stufken
- A stochastic process representation for time warping functions

- Yijia Ma, Xinyu Zhou and Wei Wu
- Sequential estimation for mixture of regression models for heterogeneous population

- Na You, Hongsheng Dai, Xueqin Wang and Qingyun Yu
- Inference on order restricted means of inverse Gaussian populations under heteroscedasticity

- Anjana Mondal and Somesh Kumar
Volume 193, issue C, 2024
- Empirical likelihood in a partially linear single-index model with censored response data

- Liugen Xue
- Change point detection via feedforward neural networks with theoretical guarantees

- Houlin Zhou, Hanbing Zhu and Xuejun Wang
- Generalized latent space model for one-mode networks with awareness of two-mode networks

- Xinyan Fan, Kuangnan Fang, Dan Pu and Ruixuan Qin
- Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data

- Benjamin Hivert, Denis Agniel, Rodolphe Thiébaut and Boris P. Hejblum
- Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error

- Chen Zhong
- Integrated subgroup identification from multi-source data

- Lihui Shao, Jiaqi Wu, Weiping Zhang and Yu Chen
Volume 192, issue C, 2024
- Variable selection for high-dimensional incomplete data

- Lixing Liang, Yipeng Zhuang and Philip L.H. Yu
- Burn-in selection in simulating stationary time series

- Yuanbo Li, Chu Kin Chan, Chun Yip Yau, Wai Leong Ng and Henry Lam
- Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space

- Hiroya Yamazoe and Kanta Naito
- Efficient and robust optimal design for quantile regression based on linear programming

- Cheng Peng, Drew P. Kouri and Stan Uryasev
- A fast trans-lasso algorithm with penalized weighted score function

- Xianqiu Fan, Jun Cheng, Hailing Wang, Bin Zhang and Zhenzhen Chen
- Simultaneous inference and uniform test for eigensystems of functional data

- Leheng Cai and Qirui Hu
- Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression

- Xiaofei Wu, Hao Ming, Zhimin Zhang and Zhenyu Cui
- Estimation of l0 norm penalized models: A statistical treatment

- Yuan Yang, Christopher S. McMahan, Yu-Bo Wang and Yuyuan Ouyang
- Two-sample test of stochastic block models

- Qianyong Wu and Jiang Hu
- HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties

- Cheng Wang, Haozhe Chen and Binyan Jiang
- Robust and adaptive functional logistic regression

- Ioannis Kalogridis
- Hierarchical false discovery rate control for high-dimensional survival analysis with interactions

- Weijuan Liang, Qingzhao Zhang and Shuangge Ma
- Discrepancy between structured matrices in the power analysis of a separability test

- Katarzyna Filipiak, Daniel Klein and Monika Mokrzycka
- Graph-based spatial segmentation of areal data

- Vivien Goepp and Jan van de Kassteele
- A Laplace-based model with flexible tail behavior

- Cristina Tortora, Brian C. Franczak, Luca Bagnato and Antonio Punzo
- Subgroup detection based on partially linear additive individualized model with missing data in response

- Tingting Cai, Jianbo Li, Qin Zhou, Songlou Yin and Riquan Zhang
- Group variable selection via group sparse neural network

- Xin Zhang and Junlong Zhao
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