Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

We study the profile-kernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential root-n inconsistency of the backfitting ...

Modern firms face strategy problems that change with each new shift in markets, costs, or rules. Traditional data tools often ...

Vorasidenib significantly reduced tumor growth rates in IDH1/2-mutant grade 2 glioma, improving PFS and TTNI compared to ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...