搜索结果: 1-6 共查到“理论统计学 adaptation”相关记录6条 . 查询时间(0.061 秒)
Global risk bounds and adaptation in univariate convex regression
Global risk bounds adaptation univariate convex regression
2013/6/13
We consider the problem of nonparametric estimation of a convex regression function $\phi_0$. We study global risk bounds and adaptation properties of the least squares estimator (LSE) of $\phi_0$. Un...
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 ...
A Mixture-Based Approach to Regional Adaptation for MCMC
Adaptive MCMC regional adaptation online EM mixture model
2010/3/19
Recent advances in adaptive Markov chain Monte Carlo (AMCMC) include
the need for regional adaptation in situations when the optimal transition kernel
is different across different regions of the sa...
Flexible Multivariate Density Estimation with Marginal Adaptation
Copula mixture of normals nonparametric stochastic approximation
2010/3/17
Our article addresses the problem of flexibly estimating a multivariate density
while also attempting to estimate its marginals correctly. We do so by proposing
two new estimators that try to captur...
Optimal rates and adaptation in the single-index model using aggregation
Nonparametric regression single-index aggregation adaptation minimax random design oracle inequality
2010/4/27
We want to recover the regression function in the single-index
model. Using an aggregation algorithm with local polynomial estimators,
we answer in particular to the second part of Question 2 from S...
Structural adaptation via LLp-norm oracle inequalities
structural adaptation oracle inequalities minimax risk adaptive estimation optimal rates of convergence
2010/4/28
In this paper we study the problem of adaptive estimation of a multivariate function
satisfying some structural assumption. We propose a novel estimation procedure that
adapts simultaneously to unkn...
