Scrucca, L; Karlis, D, A model-based approach to shot charts estimation in basketball, «COMPUTATIONAL STATISTICS», in corso di stampa, online first, pp. 1 - 18 [Scientific article]Open Access
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]
Scrucca, L., Entropy-Based Volatility Analysis of Financial Log-Returns Using Gaussian Mixture Models, «ENTROPY», 2024, 26, pp. 1 - 14 [Scientific article]
Scrucca, L., Entropy-Based Anomaly Detection for Gaussian Mixture Modeling, «ALGORITHMS», 2023, 16, Article number: 195 , pp. 1 - 16 [Scientific article]
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., 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]
Chirieleison, C.; Montrone, A.; Scrucca, L., Destination labels for historic villages: The impact on perception, experience, and satisfaction, «TOURISM & HOSPITALITY RESEARCH», 2022, 22, pp. 164 - 179 [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
Casa, A.; Scrucca, L.; Menardi, G., Better than the best? Answers via model ensemble in density-based clustering, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2021, 15, pp. 599 - 623 [Scientific article]Open Access
Scrucca, L., A transformation-based approach to Gaussian mixture density estimation for bounded data, «BIOMETRICAL JOURNAL», 2019, 61, pp. 873 - 888 [Scientific article]
O'Hagan, A.; Murphy, T. B.; Scrucca, L.; Gormley, I. C., Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap, «COMPUTATIONAL STATISTICS», 2019, 34, pp. 1779 - 1813 [Scientific article]
Fop, M.; Murphy, T. B.; Scrucca, L., Model-based clustering with sparse covariance matrices, «STATISTICS AND COMPUTING», 2019, 29, pp. 791 - 819 [Scientific article]
Scrucca, L.; Serafini, A., Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms, «JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS», 2019, 28, pp. 847 - 860 [Scientific article]
