3 papers
stat.ME2025
A Model-Based Clustering Approach for Bounded Data Using Transformation-Based Gaussian Mixture Models
Luca Scrucca
The clustering of bounded data presents unique challenges in statistical analysis due to the constraints imposed on the data values. This paper introduces a novel method for model-…
stat.ME2025
Assessing uncertainty in Gaussian mixtures-based entropy estimation
Luca Scrucca
Entropy estimation plays a crucial role in various fields, such as information theory, statistical data science, and machine learning. However, traditional entropy estimation metho…
stat.ME2024
A Model-Based Approach to Shot Charts Estimation in Basketball
Luca Scrucca, Dimitris Karlis
Shot charts in basketball analytics provide an indispensable tool for evaluating players' shooting performance by visually representing the distribution of field goal attempts acro…