搜索结果: 1-15 共查到“理论统计学 Minimax”相关记录17条 . 查询时间(0.037 秒)
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
Local Privacy Minimax Bounds Sharp Rates Probability Estimation
2013/6/14
We provide a detailed study of the estimation of probability distributions---discrete and continuous---in a stringent setting in which data is kept private even from the statistician. We give sharp mi...
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression A Distributed Algorithm Minimax Optimal Rates
2013/6/14
We establish optimal convergence rates for a decomposition-based scalable approach to kernel ridge regression. The method is simple to describe: it randomly partitions a dataset of size N into m subse...
Multichannel Deconvolution with Long-Range Dependence: A Minimax Study
adaptivity Besov spaces block thresholding deconvolu-tion Fourier analysis functional data long-range dependence,Meyer wavelets mini-max estimators multichannel deconvolution partial differential equations stationary sequences wavelet analysis
2013/6/13
We consider the problem of estimating the unknown response function in the multichannel deconvolution model with long-range dependent Gaussian errors. We do not limit our consideration to a specific t...
Minimax Policies for Combinatorial Prediction Games
Minimax Policies Combinatorial Prediction Games
2011/6/20
We address the online linear optimization problem when the actions of the forecaster are represented by
binary vectors. Our goal is to understand the magnitude of the minimax regret for the worst pos...
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...
Nearly unbiased variable selection under minimax concave penalty
Variable selection model selection penalized estimation leastsquares correct selection minimax unbiasedness mean squared error
2010/3/10
We propose MC+, a fast, continuous, nearly unbiased and accu-
rate method of penalized variable selection in high-dimensional linear
regression. The LASSO is fast and continuous, but biased. The bia...
Lower bounds for the minimax risk using $f$-divergences and applications
Minimax lower bounds f-divergences Fano’sinequality Pinsker’s inequality Reconstruction from supportfunctions
2010/3/10
A new lower bound involving f-divergences between
the underlying probability measures is proved for the minimax
risk in estimation problems. The proof just uses the convexity
of the function f and ...
Minimax properties of beta kernel density estimators
Beta Kernel Density Minimax estimation
2010/3/9
In this paper, we are interested in the study of beta kernel estimators from
an asymptotic minimax point of view. It is well known that beta kernel estimators
are—on the contrary of classical kernel...
Minimax Signal Detection in Ill-Posed Inverse Problems
Minimax Signal Detection Ill-Posed Inverse Problems
2010/3/9
We consider the signal detection problem for mildly, severely and extremely
ill-posed inverse problems with Sobolev, analytic and generalized analytic classes
of functions under the Gaussian white n...
Sur un theoreme de minimax et son application aux tests
theoreme de minimax son application aux tests
2009/9/24
Sur un theoreme de minimax et son application aux tests。
Non-asymptotic minimax risk for Hellinger balls
Non-asymptotic minimax risk Hellinger balls
2009/9/24
Non-asymptotic minimax risk for Hellinger balls。
Some Bayesian Credibility Premiums Obtained by Using Posterior Regret Gamma-Minimax Methodology
Classes of distributions Credibility Minimax Premium Robustness
2009/9/24
In this paper,following the robust Bayesian paradigm, a procedure based on
the posterior regret-minimax principle is applied to derive,in a straightforwar
way, new credibility formula,making use of ...
Minimax sequential estimation based on random fields
Minimax sequential estimation random fields
2009/9/23
Minimax sequential estimation based on random fields。
A Limit Law for the Root Value of Minimax Trees
Minimax Tree Limit Law Weak Convergence Analysis of Algorithms Gametree
2009/4/27
We consider minimax trees with independent, identically distributed leaf values that have a continuous distribution function FV being strictly increasing on the range where 0< FV <1. It was shown by P...
Statistical minimax approach of the Hausdorff moment problem
Minimax estimation Statistical inverse problems Problemof the moments Legendre polynomials Kullback-Leibler information
2010/4/29
The purpose of this paper is to study the problem of estimating a compactly
supported function from noisy observations of its moments in an ill-posed
inverse problem framework. We provide a statisti...