搜索结果: 1-14 共查到“理论统计学 Performance”相关记录14条 . 查询时间(0.25 秒)
Relative Performance of Expected and Observed Fisher Information in Covariance Estimation for Maximum Likelihood Estimates
Relative Performance Expected and Observed Fisher Information Covariance Estimation Maximum Likelihood Estimates
2013/6/13
Maximum likelihood estimation is a popular method in statistical inference. As a way of assessing the accuracy of the maximum likelihood estimate (MLE), the calculation of the covariance matrix of the...
Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee
Mixtures of Bernoulli Templates Two-Round EM Performance Guarantee
2013/6/13
Dasgupta showed that a two-round variant of the EM algorithm can learn mixture of Gaussian distributions with near optimal precision with high probability if the Gaussian distributions are well separa...
A framework to characterize performance of LASSO algorithms
Noisy linear systems of equations LASSO SOCP ℓ 1 -optimization compressed sensing
2013/5/2
In this paper we consider solving \emph{noisy} under-determined systems of linear equations with sparse solutions. A noiseless equivalent attracted enormous attention in recent years, above all, due t...
Sequential testing over multiple stages and performance analysis of data fusion
Sequential testing over multiple stages performance analysis data fusion
2013/4/28
We describe a methodology for modeling the performance of decision-level data fusion between different sensor configurations, implemented as part of the JIEDDO Analytic Decision Engine (JADE). We firs...
On the Performance of Transmit Antenna Selection Based on Shadowing Side Information
Transmit antenna selection shadowing composite fading channels Generalized-K diversity order
2012/11/23
In this paper, a transmit antenna selection scheme, which is based on shadowing side information, is investigated. In this scheme, the selected single transmit antenna provides the highest shadowing c...
Coherence-Based Performance Guarantees of Orthogonal Matching Pursuit
Compressive Sensing(CS) Orthogonal Matching Pursuit(OMP) worst-case coherence average coherence support recovery signal reconstruction
2012/11/23
In this paper, we present coherence-based performance guarantees of Orthogonal Matching Pursuit (OMP) for both support recovery and signal reconstruction of sparse signals when the measurements are co...
Shrinkage estimators for prediction out-of-sample: Conditional performance
James-Stein estimator rando mmatrix theory random design
2012/11/22
We find that, in a linear model, the James-Stein estimator, which dominates the maximum-likelihood estimator in terms of its in-sample prediction error, can perform poorly compared to the maximum-like...
Performance of capacity inference methods under colored interference
capacity inference methods Performance colored interference
2011/6/21
In this paper, we address the problem of fast point-to-point channel capacity estimation in the situation where
the receiver undergoes unknown colored interference from multiple sources, whereas the ...
Performance guarantees for individualized treatment rules
Decision making l1-penalized least squares value
2011/6/17
Because many illnesses show heterogeneous response to treatment,
there is increasing interest in individualizing treatment to patients
[Arch. Gen. Psychiatry 66 (2009) 128–133]. An individualized
t...
Sharper lower bounds on the performance of the empirical risk minimization algorithm
empirical risk minimization learning theory lower bound multidimensional central limit theorem uniform central limit theorem
2011/3/24
We present an argument based on the multidimensional and the uniform central limit theorems, proving that, under some geometrical assumptions between the target function $T$ and the learning class $F$...
Validated Intraclass Correlation Statistics to Test Item Performance Models
Model test misfit detection intraclass correlation item performance databases
2010/10/14
A new method, with an application program in Matlab code, is proposed for testing item performance models on empirical databases. This method uses data intraclass correlation statistics as expected co...
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise
Coherence-Based Performance Guarantees Sparse Vector Random Noise
2010/3/19
We consider the problem of estimating a deterministic
sparse vector x0 from underdetermined measurements
Ax0 + w, where w represents white Gaussian noise and A is
a given deterministic dictionary. ...
Performance of the Bartlett and Bartlett-Type Corrections in Some Location-Scale Nonlinear Models
Performance of the Bartlett Bartlett-Type Corrections Location-Scale Nonlinear Models
2009/9/17
Performance of the Bartlett and Bartlett-Type Corrections in Some Location-Scale Nonlinear Models。
Hierarchical Bayesian Modeling of Hitting Performance in Baseball
Hierarchical Bayesian Modeling Hitting Performance Baseball
2010/3/18
We have developed a sophisticated statistical model for predicting the hitting performance
of Major League baseball players. The Bayesian paradigm provides a principled
method for balancing past per...