Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Mihai Petre and Cosmin Dincă of EY Romania explain how getting customs essentials right – from classification and origin to valuation – can reduce fiscal exposure and improve operational certainty for ...

Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of variable sources call ...

The stock market's "systemic problem" is rearing its ugly head again. The 10-year Treasury yield (^TNX) has surged nearly 50 basis points in the past month, reaching above 4.6% for the first time ...

A pdf version of the R notebook is available, for visualization purpose. This exercise is a Classification problem, in which the sample_dataset.RData is given.

Purpose: The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health ...