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Computational Statistics & Data Analysis

1983 - 2021

Current editor(s): S.P. Azen

From Elsevier
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Volume 153, issue C, 2021

Penalised maximum likelihood estimation in multi-state models for interval-censored data Downloads
Robson J.M. Machado, Ardo van den Hout and Giampiero Marra
Estimating scale-invariant directed dependence of bivariate distributions Downloads
Robert R. Junker, Florian Griessenberger and Wolfgang Trutschnig
An algorithm for blocking regular fractional factorial 2-level designs with clear two-factor interactions Downloads
Ulrike Grömping
Penalized logspline density estimation using total variation penalty Downloads
Kwan-Young Bak, Jae-Hwan Jhong, JungJun Lee, Jae-Kyung Shin and Ja-Yong Koo
Weighted rank estimation for nonparametric transformation models with nonignorable missing data Downloads
Tianqing Liu, Xiaohui Yuan and Jianguo Sun
An algorithm for non-parametric estimation in state–space models Downloads
Thi Tuyet Trang Chau, Pierre Ailliot and Valérie Monbet
Hybrid safe–strong rules for efficient optimization in lasso-type problems Downloads
Yaohui Zeng, Tianbao Yang and Patrick Breheny
Fixed design local polynomial smoothing and bandwidth selection for right censored data Downloads
Dimitrios Bagkavos and Dimitrios Ioannides
Robust boosting for regression problems Downloads
Xiaomeng Ju and Matías Salibián-Barrera
Conditional score matching for high-dimensional partial graphical models Downloads
Xinyan Fan, Qingzhao Zhang, Shuangge Ma and Kuangnan Fang
Two sample tests for high-dimensional autocovariances Downloads
Changryong Baek, Katheleen M. Gates, Benjamin Leinwand and Vladas Pipiras
Improved confidence regions in meta-analysis of diagnostic test accuracy Downloads
Tsubasa Ito and Shonosuke Sugasawa
Rank-based tests of cross-sectional dependence in panel data models Downloads
Long Feng, Ping Zhao, Yanling Ding and Binghui Liu
Distributed subdata selection for big data via sampling-based approach Downloads
Haixiang Zhang and HaiYing Wang
Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Downloads
Daniel Zilber and Matthias Katzfuss
An adaptive decorrelation procedure for signal detection Downloads
Florian Hébert, David Causeur and Mathieu Emily
Evaluating multiplicative error models: A residual-based approach Downloads
Rui Ke, Wanbo Lu and Jing Jia

Volume 152, issue C, 2020

Model averaging assisted sufficient dimension reduction Downloads
Fang Fang and Zhou Yu
Sparse functional principal component analysis in a new regression framework Downloads
Yunlong Nie and Jiguo Cao
Large-scale estimation of random graph models with local dependence Downloads
Sergii Babkin, Jonathan R. Stewart, Xiaochen Long and Michael Schweinberger
The Delaunay triangulation learner and its ensembles Downloads
Yehong Liu and Guosheng Yin
An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data Downloads
Khuyen T. Le, Caroline Chaux, Frédéric J.P. Richard and Eric Guedj
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model Downloads
Shaogao Lv, Zengyan Fan, Heng Lian, Taiji Suzuki and Kenji Fukumizu
Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions Downloads
Edoardo Redivo, Hien D. Nguyen and Mayetri Gupta
Robust estimation for semi-functional linear regression models Downloads
Graciela Boente, Matías Salibian-Barrera and Pablo Vena
Model-free variable selection for conditional mean in regression Downloads
Yuexiao Dong, Zhou Yu and Liping Zhu
A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics Downloads
M. Baak, R. Koopman, H. Snoek and S. Klous
Bayesian nonparametric clustering as a community detection problem Downloads
Stefano F. Tonellato
An advanced hidden Markov model for hourly rainfall time series Downloads
Oliver Stoner and Theo Economou
On empirical estimation of mode based on weakly dependent samples Downloads
Bowen Liu and Sujit K. Ghosh
Sparse recovery via nonconvex regularized M-estimators over ℓq-balls Downloads
Xin Li, Dongya Wu, Chong Li, Jinhua Wang and Jen-Chih Yao
Jackknife empirical likelihood inference for the Pietra ratio Downloads
Yichuan Zhao, Yueju Su and Hanfang Yang
Two new matrix-variate distributions with application in model-based clustering Downloads
Salvatore D. Tomarchio, Antonio Punzo and Luca Bagnato
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models Downloads
Matthew Ludkin
Varying-coefficient models for dynamic networks Downloads
Jihui Lee, Gen Li and James D. Wilson
Semiparametric estimation for linear regression with symmetric errors Downloads
Chew-Seng Chee and Byungtae Seo
Model detection and estimation for varying coefficient panel data models with fixed effects Downloads
Sanying Feng, Wenqi He and Feng Li

Volume 151, issue C, 2020

Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting Downloads
Blagoje Ivanović, Bojana Milošević and Marko Obradović
Huber-type principal expectile component analysis Downloads
Liang-Ching Lin, Ray-Bing Chen, Mong-Na Lo Huang and Meihui Guo
High-dimensional two-sample mean vectors test and support recovery with factor adjustment Downloads
Yong He, Mingjuan Zhang, Xinsheng Zhang and Wang Zhou
Joint analysis of semicontinuous data with latent variables Downloads
Xiaoqing Wang, Xiangnan Feng and Xinyuan Song
Competing risk modeling and testing for X-chromosome genetic association Downloads
Meiling Hao, Xingqiu Zhao and Wei Xu
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data Downloads
Pete Philipson, Graeme L. Hickey, Michael J. Crowther and Ruwanthi Kolamunnage-Dona
Variational inference for high dimensional structured factor copulas Downloads
Hoang Nguyen, M. Concepción Ausín and Pedro Galeano
Adaptive semiparametric estimation for single index models with jumps Downloads
Zhong-Cheng Han, Jin-Guan Lin and Yan-Yong Zhao
A rank-based approach to estimating monotone individualized two treatment regimes Downloads
Haixiang Zhang, Jian Huang and Liuquan Sun
Regression models using shapes of functions as predictors Downloads
Kyungmin Ahn, J. Derek Tucker, Wei Wu and Anuj Srivastava
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation Downloads
Matthew Edwards, Stefano Castruccio and Dorit Hammerling
Nonparametric Bayesian inference for the spectral density based on irregularly spaced data Downloads
Shibin Zhang

Volume 150, issue C, 2020

Testing proportionality of two high-dimensional covariance matrices Downloads
Guanghui Cheng, Baisen Liu, Guoliang Tian and Shurong Zheng
Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions Downloads
Ray S.W. Chung, Mike K.P. So, Amanda M.Y. Chu and Thomas W.C. Chan
Partially functional linear regression in reproducing kernel Hilbert spaces Downloads
Xia Cui, Hongmei Lin and Heng Lian
A nested copula duration model for competing risks with multiple spells Downloads
Simon M.S. Lo, Enno Mammen and Ralf Wilke
Comparison of nonlinear curves and surfaces Downloads
Shi Zhao, Giorgos Bakoyannis, Spencer Lourens and Wanzhu Tu
Augmented quasi-sudoku designs in field trials Downloads
Nha Vo-Thanh and Hans-Peter Piepho
Generalized Co-clustering Analysis via Regularized Alternating Least Squares Downloads
Gen Li
Estimation of the Mann–Whitney effect in the two-sample problem under dependent censoring Downloads
Takeshi Emura and Jiun-Huang Hsu
Split sample empirical likelihood Downloads
Adam Jaeger and Nicole A. Lazar
Generalized kernel-based inverse regression methods for sufficient dimension reduction Downloads
Chuanlong Xie and Lixing Zhu
Block wild bootstrap-based CUSUM tests robust to high persistence and misspecification Downloads
Taewook Lee and Changryong Baek
Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data Downloads
Jun Young Park, Joerg Polzehl, Snigdhansu Chatterjee, André Brechmann and Mark Fiecas
Inferring time non-homogeneous Ornstein Uhlenbeck type stochastic process Downloads
G. Albano and V. Giorno
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer ’s disease Downloads
Seong J. Yang, Hyejin Shin, Sang Han Lee and Seokho Lee
Superiority of Bayes estimators over the MLE in high dimensional multinomial models and its implication for nonparametric Bayes theory Downloads
Rabi Bhattacharya and Rachel Oliver
Completely monotone distributions: Mixing, approximation and estimation of number of species Downloads
Fadoua Balabdaoui and Yulia Kulagina
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