The central limit theorem started as a bar trick for 18th-century gamblers. Now scientists rely on it every day.
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...
Abstract: In recent years, the significant success of deep learning (DL) in computer vision has contributed to its continuous development in the field of hyperspectral image (HSI) anomaly detection ...
This repository contains comprehensive materials for a five-session advanced training workshop integrating spatial sampling theory, biostatistical diagnostics, climate (BioClim) analysis, multivariate ...
My work has focused on biostatistical methodology and its applied translation to research in mental health, substance use, obesity, and health services, policy, and equity. I have worked extensively ...
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