Statistical estimation in information theory centres on quantifying the uncertainty and interdependence within data sources. Core measures such as Shannon entropy and mutual information provide ...

High-dimensional statistical inference encompasses methods for drawing reliable conclusions when the number of variables rivals or exceeds the sample size. Such settings occur routinely in genomics, ...

In a September 28, 2018 Change Request to Medicare’s Program Integrity Manual (“PIM”), the Centers for Medicare & Medicaid Services (“CMS”) updated its instructions to Medicare contractors regarding ...

HOUSTON -- (June 5, 2018) -- Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Widely available, trustworthy government statistics are essential for policy makers and program administrators at all levels of government, for private-sector decision makers, for researchers, and for ...

Abstract: Many rivers in the Western U.S. suffer from high salinity content due to both natural and human-induced causes. Computer simulation models are often used to estimate future salinity levels ...