搜索结果: 1-9 共查到“理论统计学 Thresholding”相关记录9条 . 查询时间(0.084 秒)
Statistical Significance of Clustering using Soft Thresholding
Covariance Estimation High Dimension Invariance Principles Unsupervised Learning
2013/6/14
Clustering methods have led to a number of important discoveries in bioinformatics and beyond. A major challenge in their use is determining which clusters represent important underlying structure, as...
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
A General Iterative Shrinkage Thresholding Algorithm Non-convex Regularized Optimization Problems
2013/5/2
Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex counterp...
Subspace Clustering via Thresholding and Spectral Clustering
Subspace Clustering Thresholding Spectral Clustering
2013/5/2
We consider the problem of clustering a set of high-dimensional data points into sets of low-dimensional linear subspaces. The number of subspaces, their dimensions, and their orientations are unknown...
Block Thresholding on the Sphere
Block Thresholding Needlets Spherical Data Nonpara-metric Regression
2013/4/27
Th aim of this paper is to study the nonparametric regression estimators on the sphere built by the needlet block thresholding. The block thresholding procedure proposed here follows the method introd...
Sparse linear discriminant analysis by thresholding for high dimensional data
Classification high dimensionality misclassification rate nor-mality optimal classification rule sparse estimates
2011/6/20
In many social, economical, biological and medical studies, one
objective is to classify a subject into one of several classes based on
a set of variables observed from the subject. Because the prob...
Perfect simulation using dominated coupling from the past with application to area-interaction point processes and wavelet thresholding
coupling from the past (CFTP) dominated CFTP exact simulation local stability Markov chain Monte Carlo perfect simulation
2010/3/11
We consider perfect simulation algorithms for locally stable point processes
based on dominated coupling from the past, and apply these methods
in two different contexts. A new version of the algori...
A data-driven block thresholding approach to wavelet estimation
Adaptivity Besov body block thresholding James–Stein estimator nonparametric regression Stein’s unbiased risk estimate
2010/3/19
A data-driven block thresholding procedure for wavelet regression
is proposed and its theoretical and numerical properties are investigated.
The procedure empirically chooses the block size and thre...
Perfect simulation for Bayesian wavelet thresholding with correlated coefficients
Perfect simulation Bayesian wavelet thresholding correlated coefficients
2010/3/18
We introduce a new method of Bayesian wavelet shrinkage for recon-
structing a signal when we observe a noisy version. Rather than making
the usual assumption that the wavelet coecients of the sign...
Covariance regularization by thresholding
Covariance estimation regularization sparsity thresholding large p smalln high dimension low sample size
2010/3/17
This paper considers regularizing a covariance matrix of p variables
estimated from n observations, by hard thresholding. We show
that the thresholded estimate is consistent in the operator norm as
...