4 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Sequential sampling of junction trees for decomposable graphs
Jimmy Olsson, Tetyana Pavlenko, Felix L. Rios
The junction-tree representation provides an attractive structural property for organizing a decomposable graph. In this study, we present two novel stochastic algorithms, which we…
A -classifier for high-dimensional data under non-normality
M. Rauf Ahmad, Tatjana Pavlenko
A classifier for two or more samples is proposed when the data are high-dimensional and the underlying distributions may be non-normal. The classifier is constructed as a linear co…
Goodness-of-fit tests based on sup-functionals of weighted empirical processes
Natalia Stepanova, Tatjana Pavlenko
A large class of goodness-of-fit test statistics based on sup-functionals of weighted empirical processes is proposed and studied. The weight functions employed are Erdős-Feller-Ko…
Asymptotic Properties of the Misclassification Errors for Euclidean Distance Discriminant Rule in High-Dimensional Data
H. Watanabe, M. Hyodo, T. Seo +1
Performance accuracy of the Euclidean Distance Discriminant rule (EDDR) is studied in the high-dimensional asymptotic framework which allows the dimensionality to exceed sample siz…