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ORCIDJournal of Multivariate Analysis, Volume 170
Volume 170, March 2019
- Germán Aneiros
, Ricardo Cao, Ricardo Fraiman, Philippe Vieu:
Editorial for the Special Issue on Functional Data Analysis and Related Topics. 1-2 - Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu:
Recent advances in functional data analysis and high-dimensional statistics. 3-9 - Enea G. Bongiorno, Aldo Goia:
Describing the concentration of income populations by functional principal component analysis on Lorenz curves. 10-24 - José R. Berrendero, Beatriz Bueno-Larraz, Antonio Cuevas:
An RKHS model for variable selection in functional linear regression. 25-45 - Agustín Álvarez, Graciela Boente, Nadia L. Kudraszow:
Robust sieve estimators for functional canonical correlation analysis. 46-62 - Taras Bodnar, Ostap Okhrin, Nestor Parolya:
Optimal shrinkage estimator for high-dimensional mean vector. 63-79 - Karim Benhenni, Ali Hajj Hassan, Yingcai Su:
Local polynomial estimation of regression operators from functional data with correlated errors. 80-94 - Stanislav Nagy, Frédéric Ferraty:
Data depth for measurable noisy random functions. 95-114 - Graciela Boente, Daniela Rodriguez, Mariela Sued:
The spatial sign covariance operator: Asymptotic results and applications. 115-128 - Mohamed Chaouch:
Volatility estimation in a nonlinear heteroscedastic functional regression model with martingale difference errors. 129-148 - Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas:
Multivariate and functional robust fusion methods for structured Big Data. 149-161 - Alessia Pini, Lorenzo Spreafico, Simone Vantini, Alessandro Vietti:
Multi-aspect local inference for functional data: Analysis of ultrasound tongue profiles. 162-185 - María Dolores Ruiz-Medina, Javier Álvarez-Liébana:
Strongly consistent autoregressive predictors in abstract Banach spaces. 186-201 - Qing Jiang, Marie Husková, Simos G. Meintanis, Lixing Zhu:
Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data. 202-220 - Jacopo Rossini, Antonio Canale:
Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints. 221-231 - Yuan Gao, Han Lin Shang, Yanrong Yang:
High-dimensional functional time series forecasting: An application to age-specific mortality rates. 232-243 - Alain Boudou, Sylvie Viguier-Pla:
Commuter of operators in a Hilbert space. 244-262 - Yingxing Li, Chen Huang, Wolfgang K. Härdle:
Spatial functional principal component analysis with applications to brain image data. 263-274 - Eleonora Arnone, Laura Azzimonti, Fabio Nobile, Laura M. Sangalli:
Modeling spatially dependent functional data via regression with differential regularization. 275-295 - Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian, Yanghui Liu:
Estimation and testing for partially functional linear errors-in-variables models. 296-314 - Dominik Liebl:
Inference for sparse and dense functional data with covariate adjustments. 315-335
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