activity
20102023
most citedA multivariate adaptive stochastic search method for dimensionality reduction in classification

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2023★ 1 cited

A Quantile Shift Approach To Main Effects And Interactions In A 2-By-2 Design

Rand R. Wilcox, Guillaume A. Rousselet

When comparing two independent groups, shift functions are basically techniques that compare multiple quantiles rather than a single measure of location, the goal being to get a mo…

stat.CO2018

Improved Methods for Making Inferences About Multiple Skipped Correlations

Rand Wilcox, Guillaume Rousselet, Cyril Pernet

A skipped correlation has the advantage of dealing with outliers in a manner that takes into account the overall structure of the data cloud. For p-variate data, , there i…

stat.ME2015

ANCOVA: A heteroscedastic global test when there is curvature and two covariates

Rand Wilcox

For two independent groups, let be some conditional measure of location for the th group associated with some random variable given $\mathbf {X}=(X_1, X_2)…

stat.ME2015

Global comparisons of medians and other quantiles in a one-way design when there are tied values

Rand Wilcox

For independent groups, the paper deals with testing the global hypothesis that all groups have a common population median or identical quantiles, with an emphasis on…

stat.ME2015

Comparisons of two quantile regression smoothers

Rand Wilcox

The paper compares the small-sample properties of two non-parametric quantile regression estimators. The first is based on constrained B-spline smoothing (COBS) and the other is ba…

stat.AP2010★ 3 cited

A multivariate adaptive stochastic search method for dimensionality reduction in classification

Tian Siva Tian, Gareth M. James, Rand R. Wilcox

High-dimensional classification has become an increasingly important problem. In this paper we propose a "Multivariate Adaptive Stochastic Search" (MASS) approach which first reduc…