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ORCIDJournal of Multivariate Analysis, Volume 134
Volume 134, February 2015
- Hyejin Shin
, Seokho Lee:
Canonical correlation analysis for irregularly and sparsely observed functional data. 1-18 - Jean-Luc Marichal, Pierre Mathonet, Fabio Spizzichino:
On modular decompositions of system signatures. 19-32 - Ruiyan Luo, Xin Qi:
Sparse wavelet regression with multiple predictive curves. 33-49 - Xiaoyu Dong, Thomas Mathew:
Central tolerance regions and reference regions for multivariate normal populations. 50-60 - Songjun Lv:
Covariance matrices associated to general moments of a random vector. 61-70 - Yuexiao Dong, Zhou Yu, Li-Ping Zhu:
Robust inverse regression for dimension reduction. 71-81 - Marco Riquelme, Heleno Bolfarine, Manuel Galea:
Robust linear functional mixed models. 82-98 - Jingke Zhou, Wangli Xu, Lixing Zhu:
Robust estimating equation-based sufficient dimension reduction. 99-118 - Jayme Pinto, Nikolai Kolev:
Sibuya-type bivariate lack of memory property. 119-128 - Wolfgang K. Härdle, Yaacov Ritov, Weining Wang:
Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models. 129-145 - Kagumi Uesu, Kunio Shimizu, Ashis SenGupta:
A possibly asymmetric multivariate generalization of the Möbius distribution for directional data. 146-162 - Alexander Dürre, Daniel Vogel, David E. Tyler:
Corrigendum to "The spatial sign covariance matrix with unknown location" [J. Multivariate Analysis 130 (2014) 107-117]. 163
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