TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
1992 - 2025
Current editor(s): Alfonso Gordaliza and Ana F. Militino From: Springer Sociedad de Estadística e Investigación Operativa Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 26, issue 4, 2017
- High-dimensional simultaneous inference with the bootstrap pp. 685-719

- Ruben Dezeure, Peter Bühlmann and Cun-Hui Zhang
- Comments on: High-dimensional simultaneous inference with the bootstrap pp. 720-728

- Jelena Bradic and Yinchu Zhu
- Comments on: High-dimensional simultaneous inference with the bootstrap pp. 729-730

- Arindam Chatterjee
- Comments on: High-dimensional simultaneous inference with the bootstrap pp. 731-733

- Matthias Löffler and Richard Nickl
- Comments on: High-dimensional simultaneous inference with the bootstrap pp. 734-739

- Richard A. Lockhart and Richard J. Samworth
- Comments on: High-dimensional simultaneous inference with the bootstrap pp. 740-750

- Hanzhong Liu and Bin Yu
- Rejoinder on: High-dimensional simultaneous inference with the bootstrap pp. 751-758

- Ruben Dezeure, Peter Bühlmann and Cun-Hui Zhang
- Inference of nonlinear mixed models for clustered data under moment conditions pp. 759-781

- Zaixing Li
- Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control pp. 782-801

- Yin Xia
- Computation of optimum Type-II progressively hybrid censoring schemes using variable neighborhood search algorithm pp. 802-821

- Ritwik Bhattacharya and Biswabrata Pradhan
- Comparison results for inactivity times of k-out-of-n and general coherent systems with dependent components pp. 822-846

- Jorge Navarro, Maria Longobardi and Franco Pellerey
- An INAR(1) process for modeling count time series with equidispersion, underdispersion and overdispersion pp. 847-868

- Marcelo Bourguignon and Christian H. Weiß
- Robust Bayesian regression with the forward search: theory and data analysis pp. 869-886

- Anthony C. Atkinson, Aldo Corbellini and Marco Riani
Volume 26, issue 3, 2017
- Fast estimation of the median covariation matrix with application to online robust principal components analysis pp. 461-480

- Hervé Cardot and Antoine Godichon-Baggioni
- On the asymptotics of minimum disparity estimation pp. 481-502

- Arun Kumar Kuchibhotla and Ayanendranath Basu
- Quadratic forms of the empirical processes for the two-sample problem for functional data pp. 503-526

- R. Bárcenas, J. Ortega and A. J. Quiroz
- Bandwidth selection in kernel density estimation for interval-grouped data pp. 527-545

- Miguel Reyes, Mario Francisco-Fernández and Ricardo Cao
- Nonparametric statistics of dynamic networks with distinguishable nodes pp. 546-573

- Daniel Fraiman, Nicolas Fraiman and Ricardo Fraiman
- Jump-detection-based estimation in time-varying coefficient models and empirical applications pp. 574-599

- Yan-Yong Zhao, Jin-Guan Lin, Hong-Xia Wang and Xing-Fang Huang
- Strong laws for weighted sums of $$\psi $$ ψ -mixing random variables and applications in errors-in-variables regression models pp. 600-617

- Di Hu, Pingyan Chen and Soo Hak Sung
- New properties of the orthant convex-type stochastic orders pp. 618-637

- J. M. Fernández-Ponce and M. R. Rodríguez-Griñolo
- Optimal approximate designs for comparison with control in dose-escalation studies pp. 638-660

- Samuel Rosa and Radoslav Harman
- New two-sample tests for skewed populations and their connection to theoretical power of Bootstrap-t test pp. 661-683

- Haiyan Wang, Bo Tong, Huaiyu Zhang and Xukun Li
Volume 26, issue 2, 2017
- Marginal integration M-estimators for additive models pp. 231-260

- Graciela Boente and Alejandra Martínez
- The large deviation results for the nonlinear regression model with dependent errors pp. 261-283

- Wenzhi Yang, Zhangrui Zhao, Xinghui Wang and Shuhe Hu
- Bias-corrected and robust estimation of the bivariate stable tail dependence function pp. 284-307

- Mikael Escobar-Bach, Yuri Goegebeur, Armelle Guillou and Alexandre You
- Testing the hypothesis of a block compound symmetric covariance matrix for elliptically contoured distributions pp. 308-330

- Carlos A. Coelho and Anuradha Roy
- Dating multiple change points in the correlation matrix pp. 331-352

- Pedro Galeano and Dominik Wied
- Nonparametric latency estimation for mixture cure models pp. 353-376

- Ana López-Cheda, M. Amalia Jácome and Ricardo Cao
- A mixture of g-priors for variable selection when the number of regressors grows with the sample size pp. 377-404

- Minerva Mukhopadhyay and Tapas Samanta
- Log-symmetric regression models under the presence of non-informative left- or right-censored observations pp. 405-428

- Luis Hernando Vanegas and Gilberto A. Paula
- Shape testing in varying coefficient models pp. 429-450

- M. Ahkim, I. Gijbels and A. Verhasselt
- Erratum to: Beta autoregressive moving average models pp. 451-459

- Andréa V. Rocha and Francisco Cribari-Neto
Volume 26, issue 1, 2017
- Regression models with correlated errors based on functional random design pp. 1-21

- Karim Benhenni, Sonia Hedli-Griche and Mustapha Rachdi
- Robust and efficient direction identification for groupwise additive multiple-index models and its applications pp. 22-45

- Kangning Wang and Lu Lin
- Sure screening by ranking the canonical correlations pp. 46-70

- Xin-Bing Kong, Zhi Liu, Yuan Yao and Wang Zhou
- Distribution-free tests for sparse heterogeneous mixtures pp. 71-94

- Ery Arias-Castro and Meng Wang
- Bayesian estimation of the threshold of a generalised pareto distribution for heavy-tailed observations pp. 95-118

- Cristiano Villa
- The $$\hbox {DD}^G$$ DD G -classifier in the functional setting pp. 119-142

- J. A. Cuesta-Albertos, M. Febrero-Bande and M. Oviedo de la Fuente
- Honest confidence regions and optimality in high-dimensional precision matrix estimation pp. 143-162

- Jana Janková and Sara Geer
- Robust asymptotic tests for the equality of multivariate coefficients of variation pp. 163-187

- Stephanie Aerts and Gentiane Haesbroeck
- Test on the linear combinations of mean vectors in high-dimensional data pp. 188-208

- Huiqin Li, Jiang Hu, Zhidong Bai, Yanqing Yin and Kexin Zou
- Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression pp. 209-230

- Cristiano C. Santos and Rosangela H. Loschi
Volume 25, issue 4, 2016
- Testing for decreasing heterogeneity in a new time-varying frailty model pp. 591-606

- Marco Munda, Catherine Legrand, Luc Duchateau and Paul Janssen
- Statistical inference for generalized additive models: simultaneous confidence corridors and variable selection pp. 607-626

- Shuzhuan Zheng, Rong Liu, Lijian Yang and Wolfgang Härdle
- Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads pp. 627-653

- Larissa A. Matos, Luis M. Castro and Víctor H. Lachos
- Limit theorems for empirical Rényi entropy and divergence with applications to molecular diversity analysis pp. 654-673

- Maciej Pietrzak, Grzegorz A. Rempała, Michał Seweryn and Jacek Wesołowski
- A moment generating function of a combination of linear rank tests and its asymptotic efficiency pp. 674-691

- Hidetoshi Murakami
- Simultaneous confidence bands for the distribution function of a finite population and of its superpopulation pp. 692-709

- Jiangyan Wang, Suojin Wang and Lijian Yang
- Constrained Bayes estimation in small area models with functional measurement error pp. 710-730

- Elaheh Torkashvand, Mohammad Jafari Jozani and Mahmoud Torabi
- Robustness issues for cub models pp. 731-750

- Maria Iannario, Anna Clara Monti and Domenico Piccolo
- A contamination model for the stochastic order pp. 751-774

- P. C. Álvarez-Esteban, E. del Barrio, J. A. Cuesta-Albertos and C. Matrán
- Uniform integrability of the OLS estimators, and the convergence of their moments pp. 775-784

- Georgios Afendras and Marianthi Markatou
Volume 25, issue 3, 2016
- Efficient estimation for marginal generalized partially linear single-index models with longitudinal data pp. 413-431

- Peirong Xu, Jun Zhang, Xingfang Huang and Tao Wang
- Revisiting the two-sample runs test pp. 432-448

- Ludwig Baringhaus and Norbert Henze
- A plug-in approach to sparse and robust principal component analysis pp. 449-481

- Luca Greco and Alessio Farcomeni
- On a stochastic epidemic SEIHR model and its diffusion approximation pp. 482-502

- Marco Ferrante, Elisabetta Ferraris and Carles Rovira
- Testing for Poisson arrivals in INAR(1) processes pp. 503-524

- Sebastian Schweer and Christian H. Weiß
- Distribution-free high-dimensional two-sample tests based on discriminating hyperplanes pp. 525-547

- Anil K. Ghosh and Munmun Biswas
- Empirical best prediction under area-level Poisson mixed models pp. 548-569

- Miguel Boubeta, María José Lombardía and Domingo Morales
- Nonparametric density and survival function estimation in the multiplicative censoring model pp. 570-590

- Elodie Brunel, Fabienne Comte and Valentine Genon-Catalot
Volume 25, issue 2, 2016
- A random forest guided tour pp. 197-227

- Gérard Biau and Erwan Scornet
- Comments on: A random forest guided tour pp. 228-238

- Sylvain Arlot and Robin Genuer
- Comments on: A random forest guided tour pp. 239-246

- Peter Bühlmann and Florencia Leonardi
- Comments on: A random forest guided tour pp. 247-253

- Pierre Geurts and Louis Wehenkel
- Comments on: A random forest guided tour pp. 254-260

- Giles Hooker and Lucas Mentch
- Comments on: A random forest guided tour pp. 261-263

- Stefan Wager
- Rejoinder on: A random forest guided tour pp. 264-268

- Gérard Biau and Erwan Scornet
Volume 25, issue 1, 2016
- Probability-enhanced effective dimension reduction for classifying sparse functional data pp. 1-22

- Fang Yao, Yichao Wu and Jialin Zou
- Probability-enhanced effective dimension reduction for classifying sparse functional data pp. 1-22

- Fang Yao, Yichao Wu and Jialin Zou
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 23-26

- Ana M. Aguilera
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 23-26

- Ana Aguilera
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 27-32

- Germán Aneiros and Philippe Vieu
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 27-32

- Germán Aneiros and Philippe Vieu
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 33-34

- Peijun Sang, Yunlong Nie and Jiguo Cao
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 33-34

- Peijun Sang, Yunlong Nie and Jiguo Cao
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 35-40

- Manuel Febrero-Bande
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 35-40

- Manuel Febrero-Bande
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 41-43

- Gérard Biau and Clément Levrard
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 41-43

- Gérard Biau and Clément Levrard
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 44-46

- Chong Zhang and Yufeng Liu
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 44-46

- Chong Zhang and Yufeng Liu
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 47-51

- Hao Helen Zhang
- Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 47-51

- Hao Zhang
- Rejoinder on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 52-58

- Fang Yao, Yichao Wu and Jialin Zou
- Rejoinder on: Probability enhanced effective dimension reduction for classifying sparse functional data pp. 52-58

- Fang Yao, Yichao Wu and Jialin Zou
- Confidence distribution inferences in one-way random effects model pp. 59-74

- Xuhua Liu and Xingzhong Xu
- Censored linear model in high dimensions pp. 75-92

- Patric Müller and Sara Geer
- Semi-parametric estimation and forecasting for exogenous log-GARCH models pp. 93-112

- Ming Chen and Qiongxia Song
- Bayesian nonparametric location–scale–shape mixtures pp. 113-130

- Antonio Canale and Bruno Scarpa
- Time-varying extreme pattern with dynamic models pp. 131-149

- Fernando Nascimento, Dani Gamerman and Hedibert Lopes
- Stochastic comparisons of generalized mixtures and coherent systems pp. 150-169

- Jorge Navarro
- Global and local distance-based generalized linear models pp. 170-195

- Eva Boj, Adrià Caballé, Pedro Delicado, Anna Esteve and Josep Fortiana
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