Results 41 to 50 of about 5,741 (199)
Optimal estimation of a large-dimensional covariance matrix under Stein's loss [PDF]
, 2013 This paper revisits the methodology of Stein (1975, 1986) for estimating a covariance matrix in the setting where the number of variables can be of the same magnitude as the sample size.
Ledoit, Olivier, Wolf, Michael
core +2 more sources
Second-order Stein: SURE for SURE and other applications in high-dimensional inference [PDF]
Annals of Statistics, 2018 Stein's formula states that a random variable of the form $z^\top f(z) - {\rm{div}} f(z)$ is mean-zero for all functions $f$ with integrable gradient. Here, ${\rm{div}} f$ is the divergence of the function $f$ and $z$ is a standard normal vector.
P. Bellec, Cun-Hui Zhang
semanticscholar +1 more source
Sparse Bayesian Learning with Stein's Unbiased Risk Estimator based Hyperparameter Optimization
2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022 Sparse Bayesian Learning (SBL) is a popular compressed sensing technique in which the sparsifying prior for the unknowns in the underdetermined linear system is modeled as a Gaussian scale mixture. This leads to a number of hyperparameters which involve at least the variance profile and the noise variance, but also possible parameters in the variance ...
openaire +2 more sources
Sparse Multinomial Logistic Regression via Approximate Message Passing
, 2016 For the problem of multi-class linear classification and feature selection, we propose approximate message passing approaches to sparse multinomial logistic regression (MLR).
Byrne, Evan, Schniter, Philip
core +1 more source
The Forecasting Value of New Crop Futures: A Decision-Making Framework [PDF]
, 1998 The statistical forecasting efficiency of new crop corn and soybean futures is the topic of frequent academic inquiry. However, few studies address the usefulness of these forecasts to economic agents??? decision making.
Garcia, Philip +2 more
core +1 more source
, 2014 We propose a bilateral filter with a locally controlled domain kernel for directional edge-preserving smoothing. Traditional bilateral filters use a range kernel, which is responsible for edge preservation, and a fixed domain kernel that performs ...
Seelamantula, Chandra Sekhar +1 more
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Adolescents' trajectories of mental health in the MYRIAD trial
JCPP Advances, EarlyView.Abstract Background This study explored adolescent's mental health trajectories over the course of a school‐based mindfulness‐based intervention trial (MYRIAD). It examined whether intervention condition (mindfulness vs. teaching‐as‐usual), individual‐level and contextual‐level factors were associated with different trajectories.
Carolina Guzman Holst +8 more
wiley +1 more source
Journal of Organizational Behavior, EarlyView.ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz +3 more
wiley +1 more source
EEG Artifact Removal Using a Wavelet Neural Network [PDF]
, 2011 !n this paper we developed a wavelet neural network. (WNN) algorithm for Electroencephalogram (EEG) artifact removal without electrooculographic (EOG) recordings.
Li, Jiang +8 more
core +2 more sources
, 2018 In this paper, we consider the nonparametric regression problem with multivariate predictors. We provide a characterization of the degrees of freedom and divergence for estimators of the unknown regression function, which are obtained as outputs of ...
Chen, Xi, Lin, Qihang, Sen, Bodhisattva
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