搜索结果: 1-14 共查到“统计学 HILBERT”相关记录14条 . 查询时间(0.093 秒)
Let F be a real quadratic field with ring of integers O and with class number 1. Let Γ be a congruence subgroup of GL2 (O)GL2() . We describe a technique to compute the action of the Hecke operators o...
Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
Path Integral Control Reproducing Kernel Hilbert Space Embedding
2012/9/18
We present an embedding of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert spaces. Using consistent, sample based estimates of the embedding l...
Approximation properties of certain operator-induced norms on Hilbert spaces
L2 approximation Empirical norm Quadratic functionals Hilbert spaces with reproducing kernels Analysis of M-estimators
2011/6/20
We consider a class of operator-induced norms, acting as finite-dimensional
surrogates to the L2 norm, and study their approximation properties over
Hilbert subspaces of L2. The class includes, as a...
Minimax Robust Function Approximation in Reproduction Kernel Hilbert Spaces
RKHS Thin-Plate Splines Smoothing Splines Scattered Data Interpolation and Approximation
2010/4/30
In this paper, we present a unified approach to function approximation in reproducing kernel Hilbert spaces (RKHS) that establishes a previously unrecognized optimality property for several well-known...
K-Dimensional Coding Schemes in Hilbert Spaces
Empirical risk minimization estimation bounds K-means clus-tering and vector quantization statistical learning
2010/3/10
This paper presents a general coding method where data in
a Hilbert space are represented by finite dimensional coding vectors. The
method is based on empirical risk minimization within a certain cl...
Interpolation error operator for Hilbert space valued stationary stochastic processes
Interpolation error operator Hilbert space stationary stochastic processes
2009/9/24
In the paper a characterization of interpolation error
operator for Hilbert space valued staiionary stochastic processes is
obtained.
Statistical characterizations of Gaussian measures on a Hilbert space
Statistical characterizations Gaussian measures a Hilbert space
2009/9/24
Statistical characterizations of Gaussian measures on a Hilbert space。
Tightness criteria for random measures with application to the principle of conditioning in Hilbert spaces
Tightness criteria random measures with application
2009/9/23
Tightness criteria for random measures with application to the principle of conditioning in Hilbert spaces。
A roumula for the density of the norm of stable random vectors in Hilbert spaces
the density of the norm stable random vectors Hilbert spaces
2009/9/23
A roumula for the density of the norm of stable random vectors in Hilbert spaces。
On the rate of convergence in the random central limit theorem in Hilbert space
the rate of convergence the random central limit theorem Hilbert space
2009/9/23
On the rate of convergence in the random central limit theorem in Hilbert space。
Equivalence of distrubutions of some Ornstein-Uhlenbeck processes taking values in Hilbert space
Equivalence of distrubutions some Ornstein-Uhlenbeck processes Hilbert space
2009/9/23
Sufficient conditions for equivalence of distributions in
LZ(O,T , H) of two Ornstein-Uhlenbeck processes taking values in
a Hilbert space H are given. The Girsanov theorem and some facts in
the th...
Hilbert space valued traces and multiple Stratonovich integrals with statistical applications
Hilbert space valued traces multiple Stratonovich integrals statistical applications
2009/9/22
Multiple Stratonovich integrals (MSI) with respect to
the Wiener process and the Brownian bridge are defined for a class of
kernels having k-th order t-traces which are, in general different from
t...
Nonlinear functional models for functional responses in reproducing kernel Hilbert spaces
Functional regression models Representer theorem Reproducing kernel Hilbertspace Generalized cross-validation Kernel estimate
2010/4/26
An extension of reproducing kernel Hilbert space (RKHS) theory provides a new
framework for modeling functional regression models with functional responses. The approach
only presumes a general nonl...