搜索结果: 1-15 共查到“统计学其他学科 nonparametric.”相关记录15条 . 查询时间(0.064 秒)
Nonparametric sparsity and regularization
Sparsity Nonparametrics Variable selection Regularization Proximal meth-ods RKHS
2012/9/17
In this work we are interested in the problems of supervised learning and variable se-lection when the input-output dependence is described by a nonlinear function depending on a few variables. Our go...
We prove Bernstein – von Mises theorems for nonparametric Bayes priors in the Gaussian white noise model. We demonstrate how such results justify Bayes methods as efficient frequentist inference proce...
Nonparametric Inference for Max-Stable Dependence
Nonparametric Inference Max-Stable Dependence
2012/9/17
The choice for parametric techniques in the dis-cussion article is motivated by the claim that for multivariate extreme-value distributions, “owing to
the curse of dimensionality, nonparametric estim...
Fast nonparametric classification based on data depth
Alpha-procedure zonoid depth DD-plot pattern recog-nition supervised learning, misclassification rate
2012/9/19
A new procedure, calledDDα-procedure, is developed to solve the problem of classifyingd-dimensional objects into q≥2 classes. The pro-cedure is completely nonparametric; it usesq-dimensional depth plo...
Adaptive confidence bands in the nonparametric fixed design regression model
Adaptive confidence bands nonparametric fixed design regression model
2012/9/19
In this note, we consider the problem of existence of adaptive confidence bands in the fixed design regression model, adapting ideas in Hoffmann and Nickl [10] to the present case. In the course of th...
Parametric and Nonparametric Tests for Speckled Imagery
robust statistics information theory nonpara-metric methods parametric inference
2012/9/19
Synthetic aperture radar (SAR) has a pivotal role as a remote imaging method. Obtained by means of coherent illumination, SAR images are contaminated with speckle noise. The statistical modeling of su...
Nonparametric Edge Detection in Speckled Imagery
Edge detection hypothesis testing image analysis multiplicative noise small samples speckle SAR
2012/9/19
We address the issue of edge detection in Synthetic Aperture Radar imagery. In particular, we propose nonparametric methods for edge detection, and numeri-cally compare them to an alternative method t...
Nonparametric estimation of a renewal reward process from discrete data
Renewal reward process Continuous time random walk Com-pound Poisson process Discretely observed random process Wavelet density estimation.
2012/9/19
We study the nonparametric estimation of the jump density of a re-newal reward process from one discretely observed sample path over [0;T].We consider the regime when the sampling rate = T !0 asT!1...
Spatially-adaptive sensing in nonparametric regression
Nonparametric regression, adaptive sensing sequential design active learning spatial adaptation spatially-inhomogeneous functions.
2012/9/18
While adaptive sensing has provided improved rates of convergence in sparse regression and classi cation, results in nonparametric regres-sion have so far been restricted to quite speci c classes of f...
Parameter estimation of ODE's via nonparametric estimators
Asymptotics M-estimator Nonparametric regression Parametric estimation Splines
2009/9/16
Ordinary differential equations (ODE's) are widespread models in physics, chemistry and biology. In particular, this mathematical formalism is used for describing the evolution of complex systems and ...
Nonparametric goodness-of-fit testing in quantum homodyne tomography with noisy data
Density matrix Goodness-of fit test Minimax rates Nonparametric test Pattern Functions estimation Quantum homodyne tomography
2009/9/16
In the framework of quantum optics, we study the problem of goodness-of-fit testing in a severely ill-posed inverse problem. A novel testing procedure is introduced and its rates of convergence are in...
Data-driven wavelet-Fisz methodology for nonparametric function estimation
Besov spaces exponential inequality heteroscedasticity nonparametric regression variance function
2009/9/16
We propose a wavelet-based technique for the nonparametric estimation of functions contaminated with noise whose mean and variance are linked via a possibly unknown variance function. Our method, term...
Nonparametric deconvolution problem for dependent sequences
long range dependence linear processes error-in-variables models deconvolution
2009/9/16
We consider the nonparametric estimation of the density function of weakly and strongly dependent processes with noisy observations. We show that in the ordinary smooth case the optimal bandwidth choi...
Structural shrinkage of nonparametric spectral estimators for multivariate time series
structural shrinkage nonparametric spectral estimators multivariate time series
2009/9/16
In this paper we investigate the performance of periodogram based estimators of the spectral density matrix of possibly high-dimensional time series. We suggest and study shrinkage as a remedy against...
Nonparametric Bayesian model selection and averaging
Adaptation rate of convergence Bayes factor rate of contraction
2009/9/16
We consider nonparametric Bayesian estimation of a probability density p based on a random sample of size n from this density using a hierarchical prior. The prior consists, for instance, of prior wei...