搜索结果: 46-60 共查到“管理学 Applications”相关记录110条 . 查询时间(0.396 秒)
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices
Chen-Stein method coherence compressed sensing matrix covariance struc-ture law of large numbers limiting distribution maxima moderate deviations mutual incoherence property random matrix sample correlation matrix
2011/3/23
Testing covariance structure is of significant interest in many areas of statistical analysis and construction of compressed sensing matrices is an important problem in signal processing. Motivated b...
Smoothed log-concave maximum likelihood estimation with applications
Classification Functional estimation Log-concave maximum likelihood estimation Log-concavity Smoothing
2011/3/18
We study the smoothed log-concave maximum likelihood estimator of a probability distribution on $\mathbb{R}^d$. This is a fully automatic nonparametric density estimator, obtained as a canonical smoot...
Multiplier bootstrap of tail copulas - with applications
copulas Multiplier bootstrap of tail applications
2011/3/18
In the problem of estimating the lower and upper tail copula we propose two bootstrap procedures for approximating the distribution of the corresponding empirical tail copulas. The first method ...
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Learning (cs.LG) Optimization and Control (math.OC) Machine Learning (stat.ML)
2010/12/17
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors amounts to finding cri...
Semi-parametric dynamic time series modelling with applications to detecting neural dynamics
Dynamic time series modeling change-point testing Bayesian statistics statistics for neural data
2010/11/8
This paper illustrates novel methods for nonstationary time se-ries modeling along with their applications to selected problems in neuroscience. These methods are semi-parametric in that inferences ar...
Some Theory for the Analysis of Random Fields——With Applications to Geostatistics
Some Theory Random Fields Applications to Geostatistics
2010/4/26
Ich erkl¨are ehrenw¨ortlich, dass ich die vorliegende Schrift verfasst und die
mit ihr unmittelbar verbundenen Arbeiten selbst durchgef¨uhrt habe. Die in
der Schrift verwendete Literatur sowie das A...
Multivariate Statistical Process Control Charts and the Problem of Interpretation：A Short Overview and Some Applications in Industry
Quality Control Process Control Multivariate Statistical Process Control Hotelling's T2 CUSUM
2010/3/17
Woodall and Montgomery [35] in a discussion paper, state that multivariate process control is one of the most rapidly developing sections of statistical process control. Nowadays, in industry, there a...
The dynamics of message passing on dense graphs,with applications to compressed sensing
message passing dense graphs compressed sensing
2010/3/9
Approximate message passing’ algorithms proved to be extremely effective in reconstructing
sparse signals from a small number of incoherent linear measurements. Extensive numerical
experiments furth...
Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems
continuous time counting Markov process birth-death process environmental stochasticity infinitesimal over-dispersion
2010/3/11
We propose an infinitesimal dispersion index for Markov counting processes. We show that, under standard moment
existence conditions, a process is infinitesimally (over-) equi-dispersed if, and only ...
History of applications of martingales in survival analysis
History applications martingales survival analysis
2010/3/11
The paper traces the development of the use of martingale methods
in survival analysis from the mid 1970’s to the early 1990’s. This
development was initiated by Aalen’s Berkeley PhD-thesis in 1975,...
Approximation by Log-Concave Distributions with Applications to Regression
Convex support isotonic regression linear regression Mallows’ distance projection
2010/3/10
We study the approximation of arbitrary distributions P on d-dimensional space by distributions
with log-concave density. Approximation means minimizing a Kullback–Leibler type functional.
We show t...
Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics
infinite band-dominated matrices Gaussian stochastic processes mixing conditions high dimensional statistical inference
2010/3/10
In the first part of this paper we give an elementary proof of the fact that if an infinite matrix
A, which is invertible as a bounded operator on `2, can be uniformly approximated by banded matrices...
A two-sample test for high-dimensional data with applications to gene-set testing
High dimension gene-set testing large p small n martingale central limit theorem multiple comparison
2010/3/10
We propose a two-sample test for the means of high-dimensional
data when the data dimension is much larger than the sample size.
Hotelling’s classical T 2 test does not work for this “large p, small...
Improved EM for Mixture Proportions with Applications to Nonparametric ML Estimation for Censored Data
AECM cocktail algorithm data augmentation doubly censored data EM globalconvergence NPMLE nonparametric mixtures
2010/3/10
Improved EM strategies, based on the idea of efficient data augmentation (Meng and van
Dyk 1997, 1998), are presented for ML estimation of mixture proportions. The resulting
algorithms inherit the s...
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 ...