Optimal whitening and decorrelation
A Kessy, A Lewin, K Strimmer - The American Statistician, 2018 - Taylor & Francis
Whitening, or sphering, is a common preprocessing step in statistical analysis to transform
random variables to orthogonality. However, due to rotational freedom there are infinitely …
random variables to orthogonality. However, due to rotational freedom there are infinitely …
Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks
Orthogonal matrix has shown advantages in training Recurrent Neural Networks (RNNs),
but such matrix is limited to be square for the hidden-to-hidden transformation in RNNs. In …
but such matrix is limited to be square for the hidden-to-hidden transformation in RNNs. In …
Too much of a good thing might be bad: The double-edged sword of parental aspirations and the adverse effects of aspiration-expectation gaps
Conventional wisdom suggests that parents' educational expectations (how far they expect
their children to go) and aspirations (how far they want their children to go) positively impact …
their children to go) and aspirations (how far they want their children to go) positively impact …
A review of differential privacy in individual data release
J Wang, S Liu, Y Li - International Journal of Distributed …, 2015 - journals.sagepub.com
The rapid development of mobile technology has improved users' quality of treatment, and
tremendous amounts of medical information are readily available and widely used in data …
tremendous amounts of medical information are readily available and widely used in data …
Differential privacy preserving spectral graph analysis
In this paper, we focus on differential privacy preserving spectral graph analysis. Spectral
graph analysis deals with the analysis of the spectra (eigenvalues and eigenvector …
graph analysis deals with the analysis of the spectra (eigenvalues and eigenvector …
Dengue: recent past and future threats
DJ Rogers - … Transactions of the Royal Society B …, 2015 - royalsocietypublishing.org
This article explores four key questions about statistical models developed to describe the
recent past and future of vector-borne diseases, with special emphasis on dengue:(1) How …
recent past and future of vector-borne diseases, with special emphasis on dengue:(1) How …
Cross-Cultural Patterns of Gender Differences in STEM: Gender Stratification, Gender Equality and Gender-Equality Paradoxes
Our study is among the first to provide a comprehensive review of cross-national patterns of
gender differences in various STEM-related constructs—achievement, beliefs, attitudes …
gender differences in various STEM-related constructs—achievement, beliefs, attitudes …
Novel whitening approaches in functional settings
M Vidal, AM Aguilera - Stat, 2023 - Wiley Online Library
Whitening is a critical normalization method to enhance statistical reduction via
reparametrization to unit covariance. This article introduces the notion of whitening for …
reparametrization to unit covariance. This article introduces the notion of whitening for …
Selection of weights for weighted model averaging
PH Garthwaite… - Australian & New Zealand …, 2010 - Wiley Online Library
We address the task of choosing prior weights for models that are to be used for weighted
model averaging. Models that are very similar should usually be given smaller weights than …
model averaging. Models that are very similar should usually be given smaller weights than …
Evaluating the contributions of individual variables to a quadratic form
PH Garthwaite, I Koch - Australian & New Zealand journal of …, 2016 - Wiley Online Library
Quadratic forms capture multivariate information in a single number, making them useful, for
example, in hypothesis testing. When a quadratic form is large and hence interesting, it …
example, in hypothesis testing. When a quadratic form is large and hence interesting, it …