Measuring and testing dependence by correlation of distances
GJ Székely, ML Rizzo, NK Bakirov - 2007 - projecteuclid.org
Distance correlation is a new measure of dependence between random vectors. Distance
covariance and distance correlation are analogous to product-moment covariance and …
covariance and distance correlation are analogous to product-moment covariance and …
Energy statistics: A class of statistics based on distances
GJ Székely, ML Rizzo - Journal of statistical planning and inference, 2013 - Elsevier
Energy distance is a statistical distance between the distributions of random vectors, which
characterizes equality of distributions. The name energy derives from Newton's gravitational …
characterizes equality of distributions. The name energy derives from Newton's gravitational …
A new test for multivariate normality
GJ Székely, ML Rizzo - Journal of Multivariate Analysis, 2005 - Elsevier
We propose a new class of rotation invariant and consistent goodness-of-fit tests for multivariate
distributions based on Euclidean distance between sample elements. The proposed test …
distributions based on Euclidean distance between sample elements. The proposed test …
Brownian distance covariance
GJ Székely, ML Rizzo - The annals of applied statistics, 2009 - JSTOR
Distance correlation is a new class of multivariate dependence coefficients applicable to
random vectors of arbitrary and not necessarily equal dimension. Distance covariance and …
random vectors of arbitrary and not necessarily equal dimension. Distance covariance and …
[PDF][PDF] Hierarchical clustering via joint between-within distances: Extending Ward's minimum variance method
GJ Szekely, ML Rizzo - Journal of classification, 2005 - ipipan.waw.pl
We propose a hierarchical clustering method that minimizes a joint betweenwithin measure
of distance between clusters. This method extends Ward's minimum vari-ance method, by …
of distance between clusters. This method extends Ward's minimum vari-ance method, by …
Outcomes in patients with hyperglycemia affected by COVID-19: can we do more on glycemic control?
…, ML Balestrieri, M Barbieri, MR Rizzo… - Diabetes …, 2020 - Am Diabetes Assoc
OBJECTIVE An important prognostic factor in any form of infection seems to be glucose control
in patients with type 2 diabetes. There is no information about the effects of tight glycemic …
in patients with type 2 diabetes. There is no information about the effects of tight glycemic …
[BOOK][B] Statistical computing with R
ML Rizzo - 2019 - taylorfrancis.com
Computational statistics and statistical computing are two areas that employ computational,
graphical, and numerical approaches to solve statistical problems, making the versatile R …
graphical, and numerical approaches to solve statistical problems, making the versatile R …
[PDF][PDF] Testing for equal distributions in high dimension
GJ Székely, ML Rizzo - InterStat, 2004 - Citeseer
We propose a new nonparametric test for equality of two or more multivariate distributions
based on Euclidean distance between sample elements. Several consistent tests for …
based on Euclidean distance between sample elements. Several consistent tests for …
Reduction of oxidative stress and inflammation by blunting daily acute glucose fluctuations in patients with type 2 diabetes: role of dipeptidyl peptidase-IV inhibition
OBJECTIVE Evaluate the effects of two dipeptidyl peptidase-IV (DPP-4) inhibitors, sitagliptin
and vildagliptin, known to have different efficacy on mean amplitude of glycemic excursions (…
and vildagliptin, known to have different efficacy on mean amplitude of glycemic excursions (…
Parkinson's disease: autoimmunity and neuroinflammation
Parkinson's disease is a neurodegenerative disease that causes the death of dopaminergic
neurons in the substantia nigra. The resulting dopamine deficiency in the basal ganglia …
neurons in the substantia nigra. The resulting dopamine deficiency in the basal ganglia …