The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and promising applications, including statistical signal processing, nonparametric curve estimation, random measures, limit theorems, learning theory and some applications at the fringe between Statistics and Approximation Theory. It is geared to graduate students in Statistics, Mathematics or Engineering, or to scientists with an equivalent level.
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强推一波Alain Berlinet & Christine Thomas-Agnan 写的Reproduced Kernel Hilbert Space in Probability and Statistics 这本书，无论在统计学习或者是统计学习理论中，RKHS都是非常重要的方法，事实上在Vershynin上还记载了用Kernel Trick证明Grothendieck Inequality到...
评分强推一波Alain Berlinet & Christine Thomas-Agnan 写的Reproduced Kernel Hilbert Space in Probability and Statistics 这本书，无论在统计学习或者是统计学习理论中，RKHS都是非常重要的方法，事实上在Vershynin上还记载了用Kernel Trick证明Grothendieck Inequality到...
评分强推一波Alain Berlinet & Christine Thomas-Agnan 写的Reproduced Kernel Hilbert Space in Probability and Statistics 这本书，无论在统计学习或者是统计学习理论中，RKHS都是非常重要的方法，事实上在Vershynin上还记载了用Kernel Trick证明Grothendieck Inequality到...
评分强推一波Alain Berlinet & Christine Thomas-Agnan 写的Reproduced Kernel Hilbert Space in Probability and Statistics 这本书，无论在统计学习或者是统计学习理论中，RKHS都是非常重要的方法，事实上在Vershynin上还记载了用Kernel Trick证明Grothendieck Inequality到...
评分强推一波Alain Berlinet & Christine Thomas-Agnan 写的Reproduced Kernel Hilbert Space in Probability and Statistics 这本书，无论在统计学习或者是统计学习理论中，RKHS都是非常重要的方法，事实上在Vershynin上还记载了用Kernel Trick证明Grothendieck Inequality到...
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