Learning rates of regularized regression for exponentially strongly mixing sequence

Yongli Xu; Di‐Rong Chen

doi:10.1016/j.jspi.2007.09.003

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Learning rates of regularized regression for exponentially strongly mixing sequence

Yongli Xu Di‐Rong Chen

Year: 2007 Journal: Journal of Statistical Planning and Inference Vol: 138 (7)Pages: 2180-2189 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2007.09.003

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Keywords:

Mathematics Sequence (biology) Regression Independence (probability theory) Mixing (physics) Reproducing kernel Hilbert space Exponential growth Statistics Regression analysis Hilbert space Kernel (algebra) Applied mathematics Combinatorics Mathematical analysis

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Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Learning rates of regularized regression for exponentially strongly mixing sequence

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