搜索结果: 1-15 共查到“理论统计学 Detection”相关记录25条 . 查询时间(0.171 秒)
Multiple testing of local maxima for detection of peaks in ChIP-Seq data
False discovery rate kernel smoothing matched filter Poisson sequence topological inference
2013/6/14
A topological multiple testing approach to peak detection is proposed for the problem of detecting transcription factor binding sites in ChIP-Seq data. After kernel smoothing of the tag counts over th...
Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions
Mixture models Model-based classification EM algorithm Contaminated Gaussian distribution Outlier detection Robust estimates Trimmed clustering
2013/6/14
For multivariate continuous data, the contaminated Gaussian distribution - having two parameters indicating the proportion of outliers and the degree of contamination - represents a convenient and nat...
Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices
Covariance matrix group sparsity low-rank matrix minimax rate of convergence sparse principal component analysis principal subspace,rank detection
2013/6/14
This paper considers sparse spiked covariance matrix models in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minima...
Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices
Covariance matrix group sparsity low-rank matrix minimax rate of convergence sparse principal component analysis principal subspace,rank detection
2013/6/14
This paper considers sparse spiked covariance matrix models in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minima...
Infinite-dimensional Bayesian filtering for detection of quasi-periodic phenomena in spatio-temporal data
Infinite-dimensional Bayesian filtering detection of quasi-periodic phenomena spatio-temporal data
2013/4/27
This paper introduces a spatio-temporal resonator model and an inference method for detection and estimation of nearly periodic temporal phenomena in spatio-temporal data. The model is derived as a sp...
Non-parametric change-point detection using string matching algorithms
School of Mathematics, University of Bristol, University Walk, Bristol, BS8 1TW, UK
2011/7/7
Given the output of a data source taking values in a finite alphabet, we wish to detect change-points, that is times when the statistical properties of the source change.
Distributed Detection/Isolation Procedures for Quickest Event Detection in Large Extent Wireless Sensor Networks
Disorder problem distributed quickest change detection detection with distance dependent sensing fusion of CUSUMs multi–hypothesis change detection
2011/6/20
We study a problem of distributed detection of an event in a large extent wireless sensor network
(WSN), where the event influences the observations of the sensors only in the vicinity of where it oc...
Detection of objects in noisy images and site percolation on square lattices
Image analysis signal detection image recon-struction percolation noisy image
2011/3/24
We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect obje...
Simultaneous Sequential Detection of Multiple Interacting Faults
Information Theory (cs.IT) Systems and Control (cs.SY) Statistics Theory (math.ST)
2010/12/17
Single fault sequential change point problems have become important in modeling for various phenomena in large distributed systems, such as sensor networks. But such systems in many situations present...
Security Analysis of Online Centroid Anomaly Detection
Security Analysis Online Centroid Anomaly Detection
2010/3/11
Security issues are crucial in a number of machine learning applications, especially in
scenarios dealing with human activity rather than natural phenomena (e.g., information
ranking, spam detection...
Optimal and fast detection of spatial clusters with scan statistics
Scan statistic Bernoulli model optimal detection multiscaleinference fast algorithm concentration inequality
2010/3/10
We consider the detection of multivariate spatial clusters in the
Bernoulli model with N locations, where the design distribution has
weakly dependent marginals. The locations are scanned with a rec...
Distilled Sensing:Adaptive Sampling for Sparse Detection and Estimation
Adaptive sampling model selection multiple testing sequentialdesign sparse recovery
2010/3/9
Adaptive sampling results in dramatic improvements in the re-
covery of sparse signals in white Gaussian noise. A sequential adap-
tive sampling-and-refinement procedure called distilled sensing (DS...
Distilled Sensing:Adaptive Sampling for Sparse Detection and Estimation
Distilled Sensing Adaptive Sampling Sparse Detection Estimation
2010/3/9
Adaptive sampling results in dramatic improvements in the re-
covery of sparse signals in white Gaussian noise. A sequential adap-
tive sampling-and-refinement procedure called distilled sensing (DS...
Target Detection via Network Filtering
Sparse network Lasso regression network topology target detection
2010/3/18
A method of ‘network filtering’ has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with large networks, the goal of de...
Hidden Regular Variation:Detection and Estimation
Regular variation vague convergence weak convergence spectral measure risk sets
2010/3/9
Hidden regular variation defines a subfamily of distributions satisfying multivariate
regular variation on E = [0,1]d\{(0, 0, · · · , 0)} and models another regular variation on the sub-cone E(2) = E...