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cs.CE2023★ 18 cited
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems
E. Morgado, L. Martino, R. San Millan-Castillo
We design a Universal Automatic Elbow Detector (UAED) for deciding the effective number of components in model selection problems. The relationship with the information criteria wi…
cs.CE2021
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
Luca Martino, Víctor Elvira, Javier López-Santiago +1
In many inference problems, the evaluation of complex and costly models is often required. In this context, Bayesian methods have become very popular in several fields over the las…