Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition

Yuzhu Tian; Hongmei Lin; Heng Lian; Zengyan Fan

doi:10.1007/s00184-020-00797-9

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Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition

Yuzhu Tian Hongmei Lin Heng Lian Zengyan Fan

Year: 2020 Journal: Metrika Vol: 84 (3)Pages: 429-442 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-020-00797-9

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Keywords:

Reproducing kernel Hilbert space Mathematics Smoothness Estimator Rate of convergence Kernel (algebra) Representer theorem Applied mathematics Hilbert space Regression function Convergence (economics) Function (biology) Regression Weak convergence Kernel method Statistics Mathematical analysis Pure mathematics Kernel embedding of distributions Support vector machine Artificial intelligence Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition

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