Scrucca, L; Karlis, D, A model-based approach to shot charts estimation in basketball, «COMPUTATIONAL STATISTICS», 2025, 40, pp. 2031 - 2048 [Scientific article]Open Access
Scrucca, L., A Model-Based Clustering Approach for Bounded Data Using Transformation-Based Gaussian Mixture Models, «JOURNAL OF CLASSIFICATION», 2025, 0, pp. 1 - 19 [Scientific article]
Tancini, D.; Scrucca, L.; Bartolucci, F., An algorithm aiming at unimodal density-based clustering using Gaussian mixture models, «STATISTICS AND COMPUTING», 2025, 35, Article number: 208 , pp. 1 - 27 [Scientific article]
Scrucca, L., Assessing uncertainty in Gaussian mixtures-based entropy estimation, «COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION», 2025, 0, pp. 1 - 23 [Scientific article]
Turzo, T.; Chirieleison, C.; Montrone, A.; Scrucca, L., Sustainability Standards and Decertification: A Bayesian Analysis of SA8000, «CORPORATE SOCIAL RESPONSIBILITY & ENVIRONMENTAL MANAGEMENT», 2025, 32, pp. 6951 - 6965 [Scientific article]Open Access
Tiburtini, M.; Scrucca, L.; Peruzzi, L., Using Gaussian Mixture Models in plant morphometrics, «PERSPECTIVES IN PLANT ECOLOGY, EVOLUTION AND SYSTEMATICS», 2025, 69, pp. 1 - 10 [Scientific article]
Scrucca, L.; Saqr, M.; López-Pernas, S.; Murphy, K., An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysis, in: Learning analytics methods and tutorials: A practical guide using R, Cham, Springer, 2024, pp. 285 - 317 [Chapter or essay]Open Access
Scrucca, L., Entropy-Based Volatility Analysis of Financial Log-Returns Using Gaussian Mixture Models, «ENTROPY», 2024, 26, Article number: 907 , pp. 1 - 14 [Scientific article]Open Access
Scrucca, L., Entropy-Based Anomaly Detection for Gaussian Mixture Modeling, «ALGORITHMS», 2023, 16, Article number: 195 , pp. 1 - 16 [Scientific article]Open Access
Robin, S.; Scrucca, L., Mixture-based estimation of entropy, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2023, 177, Article number: 107582 , pp. 1 - 26 [Scientific article]
Scrucca, L.; Fraley, C.; Murphy, T. B.; Raftery, A. E., Model-Based Clustering, Classification, and Density Estimation Using mclust in R, Boca Raton, FL, Chapman & Hall/CRC Press, 2023, pp. 242 . [Research monograph]
Scrucca, L., On the Influence of Data Imbalance on Supervised Gaussian Mixture Models, «ALGORITHMS», 2023, 16, Article number: 563 , pp. 1 - 14 [Scientific article]Open Access
Scrucca, L., A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy, «STATISTICAL METHODS & APPLICATIONS», 2022, 31, pp. 881 - 900 [Scientific article]
Scrucca, L., Modal clustering on PPGMMGA projection subspace, «AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS», 2022, 64, pp. 158 - 170 [Scientific article]Open Access
Scrucca, L., A fast and efficient Modal EM algorithm for Gaussian mixtures, «STATISTICAL ANALYSIS AND DATA MINING», 2021, 14, pp. 305 - 314 [Scientific article]Open Access
