搜索结果: 1-8 共查到“理论统计学 Nonparametric regression”相关记录8条 . 查询时间(0.75 秒)
Adaptive estimation in nonparametric regression with one-sided errors
adaptive convergence rates non-regular regression frontier estimation bandwidth selection Lepski's method minimax optimality Pickands estimator
2013/6/14
We consider the model of non-regular nonparametric regression where smoothness constraints are imposed on the regression function and the regression errors are assumed to decay with some sharpness lev...
Simultaneous L^2- and L^inf-Adaptation in Nonparametric Regression
Adaptive estimation nonparametric regression thresholding wavelets
2013/4/27
Consider the nonparametric regression framework. It is a classical result that the minimax rates for L^2- and L^inf-risk over a H\"older ball with smoothness index \beta are n^(-\beta/(2\beta+1)) and ...
Pointwise Adaptive M-estimation in Nonparametric Regression
adaptation Huber function Lepski's method M-estimation minimax estimation nonparametric regression robust estimation pointwise estimation
2011/6/17
This paper deals with the nonparametric estimation in heteroscedastic
regression Yi = f(Xi) + i; i = 1; : : : ; n, with incomplete information,
i.e. each real random variable i has a density gi wh...
Adaptive asymptotically efficient estimation in heteroscedastic nonparametric regression
asymptotic bounds adaptive estimation efficient estimation het-eroscedastic regression nonparametric regression Pinsker’s constant
2010/3/10
The paper deals with asymptotic properties of the adaptive proce-
dure proposed in the author paper, 2007, for estimating an unknown
nonparametric regression. We prove that this procedure is asympto...
Nonparametric denoising Signals of Unknown Local Structure，II：Nonparametric Regression Estimation
Nonparametric denoising adaptive filtering minimax estimation nonparametric regression
2010/3/18
We consider the problem of recovering of continuous multi-dimensional functions f
from the noisy observations over the regular grid m−1Zd, m ∈ N∗. Our focus is at
the adaptive estimation...
Large Deviations Theorems in Nonparametric Regression on Functional Data
Large deviation nonparametric regression functional data
2010/3/18
In this paper we prove large deviations principles for the Nadaraya-Watson estimator of the regression of a
real-valued variable with a functional covariate. Under suitable conditions, we show pointw...
Adaptive Optimal Nonparametric Regression and Density Estimation Based on Fourier-Legendre Expansion
Adaptive estimations regression density martingale confidence interval Legend repolynomials
2010/4/29
Motivated by finance and technical applications, the objective of this paper
is to consider adaptive estimation of regression and density distribution based
on Fourier-Legendre expansion, and constr...
Component selection and smoothing in multivariate nonparametric regression
Smoothing spline ANOVA method of regularization nonparametricregression nonparametric classification model selection
2010/4/26
We propose a new method for model selection and model fitting
in multivariate nonparametric regression models, in the framework
of smoothing spline ANOVA. The “COSSO” is a method of
regularization ...