Fiducial inference was introduced in the first half of the 20th century ...
Modern data collection in many data paradigms, including bioinformatics,...
The lottery is a very lucrative industry. Popular fascination often focu...
We introduce a novel approach to inference on parameters that take value...
Inferential models have recently gained in popularity for valid uncertai...
Censored data, where the event time is partially observed, are challengi...
In the age of big data, data integration is a critical step especially i...
In this comment we discuss relative strengths and weaknesses of simplex ...
Data matrix centering is an ever-present yet under-examined aspect of da...
In exploratory data analysis of known classes of high dimensional data, ...
One formulation of forensic identification of source problems is to dete...
Since the mid-2000s, there has been a resurrection of interest in modern...
Fiducial inference, as generalized by Hannig 2016 et al, is applied to
n...
A key challenge in modern data analysis is understanding connections bet...
Due to their accuracies, methods based on ensembles of regression trees ...
Structural variants compose the majority of human genetic variation, but...
As evidenced by various recent and significant papers within the frequen...
The problem of dimension reduction is of increasing importance in modern...
People are living longer than ever before, and with this arise new
compl...
Integrative analysis of disparate data blocks measured on a common set o...