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ORCIDJournal of Multivariate Analysis, Volume 146
Volume 146, April 2016
- Aldo Goia, Philippe Vieu:
An introduction to recent advances in high/infinite dimensional statistics. 1-6 - Gen Li, Dan Yang, Andrew B. Nobel, Haipeng Shen:
Supervised singular value decomposition and its asymptotic properties. 7-17 - Gérard Biau, Aurélie Fischer, Benjamin Guedj
, James D. Malley:
COBRA: A combined regression strategy. 18-28 - Laurent Gardes, Stéphane Girard:
On the estimation of the functional Weibull tail-coefficient. 29-45 - Stanislav Nagy, Irène Gijbels, Daniel Hlubinka:
Weak convergence of discretely observed functional data with applications. 46-62 - Julian A. A. Collazos, Ronaldo Dias, Adriano Z. Zambom:
Consistent variable selection for functional regression models. 63-71 - Erwan Scornet:
On the asymptotics of random forests. 72-83 - Alessandra Menafoglio, Giovanni Petris:
Kriging for Hilbert-space valued random fields: The operatorial point of view. 84-94 - Han Lin Shang:
A Bayesian approach for determining the optimal semi-metric and bandwidth in scalar-on-function quantile regression with unknown error density and dependent functional data. 95-104 - Gaëlle Chagny, Angelina Roche:
Adaptive estimation in the functional nonparametric regression model. 105-118 - Delphine Blanke, Denis Bosq:
Detecting and estimating intensity of jumps for discretely observed ARMAD(1, 1) processes. 119-137 - María Dolores Ruiz-Medina, Elvira Romano, Ricardo Fernández Pascual:
Plug-in prediction intervals for a special class of standard ARH(1) processes. 138-150 - Barbara Choros-Tomczyk, Wolfgang Karl Härdle, Ostap Okhrin:
A semiparametric factor model for CDO surfaces dynamics. 151-163 - Cristina Butucea, Rania Zgheib:
Sharp minimax tests for large Toeplitz covariance matrices with repeated observations. 164-176 - Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet:
Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. 177-190 - Ricardo Fraiman, Yanina Gimenez, Marcela Svarc:
Feature selection for functional data. 191-208 - Antoine Godichon-Baggioni:
Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: Lp and almost sure rates of convergence. 209-222 - Taras Bodnar, Arjun K. Gupta, Nestor Parolya:
Direct shrinkage estimation of large dimensional precision matrix. 223-236 - José R. Berrendero, Antonio Cuevas, Beatriz Pateiro-López:
Shape classification based on interpoint distance distributions. 237-247 - Sara A. van de Geer:
Worst possible sub-directions in high-dimensional models. 248-260 - Jacques Demongeot, Ali Hamie, Ali Laksaci, Mustapha Rachdi:
Relative-error prediction in nonparametric functional statistics: Theory and practice. 261-268 - Alejandro Cholaquidis, Ricardo Fraiman, Juan Kalemkerian, Pamela Llop:
A nonlinear aggregation type classifier. 269-281 - Alain Boudou, Sylvie Viguier-Pla:
Gap between orthogonal projectors - Application to stationary processes. 282-300 - Jeng-Min Chiou, Ya-Fang Yang, Yu-Ting Chen:
Multivariate functional linear regression and prediction. 301-312 - Aziza Ahmedou, Jean-Marie Marion, Besnik Pumo:
Generalized linear model with functional predictors and their derivatives. 313-324 - Sonja Kuhnt, André Rehage:
An angle-based multivariate functional pseudo-depth for shape outlier detection. 325-340 - Karim Benhenni, Yingcai Su:
Optimal sampling designs for nonparametric estimation of spatial averages of random fields. 341-351
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