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 ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Wall Street seems convinced that prediction markets are here to stay, cementing the status of platforms like the crypto-based prediction market Polymarket as a dominant fintech player. Launched in ...
Abstract: The purpose of this study was to investigate the relationship between workload and in-game technical and athletic performance. To achieve this,A modeling approach that predicts multiple ...
From the explosion of AI use cases and AI-capable technologies to the rapid optimisation of software-defined vehicles (SDVs), 2026 is shaping up to be a landmark year for data growth and data-centre ...
Abstract: In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the ...
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