Open AccessNonlinear sufficient dimension reduction for functional data
Author(s) -
Bing Li,
Jun Song
Publication year - 2017
Publication title -
annals of statistics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 5.877
H-Index - 178
eISSN - 2168-8966
pISSN - 0090-5364
DOI - 10.1214/16-aos1475
Subject(s) - reproducing kernel hilbert space , mathematics , estimator , hilbert space , nonlinear system , kernel (algebra) , dimensionality reduction , consistency (knowledge bases) , dimension (graph theory) , reduction (mathematics) , kernel method , mathematical optimization , mathematical analysis , support vector machine , discrete mathematics , artificial intelligence , pure mathematics , computer science , statistics , physics , geometry , quantum mechanics