3 papers
stat.ME2026
Counting on count regression: a reexamination of routinely-cited Negative Binomial specifications
Ettore Settanni, Reinout Heijungs, Jagjit Singh Srai
Negative Binomial regression is a staple in empirical management research, especially for the analysis of supply chain disruption risks. Its computational structure is often taken…
cs.AI2026
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
Jay Lee, Hanqi Su, Marco Macchi +50
The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…
stat.ME2025
Principal Component Analysis and biplots. A Back-to-Basics Comparison of Implementations
Ettore Settanni
Principal Component Analysis and biplots are so well-established and readily implemented that it is just too tempting to give for granted their internal workings. In this note I ge…