F. Marta L. Di Lascio
F. Marta L. Di Lascio
Assistant professor (fixed-term) in Statistics, Free University of Bozen-Bolzano, Italy
Bestätigte E-Mail-Adresse bei unibz.it - Startseite
Zitiert von
Zitiert von
Long-term outcome of cirrhotic patients with early hepatocellular carcinoma treated with ultrasound-guided percutaneous laser ablation: a retrospective analysis
CM Pacella, G Francica, FM Di Lascio, V Arienti, E Antico, B Caspani, ...
J Clin Oncol 27 (16), 2615-21, 2009
Social network data and practices: the case of friendfeed
F Celli, FML Di Lascio, M Magnani, B Pacelli, L Rossi
International Conference on Social Computing, Behavioral Modeling, and …, 2010
Complications of Laser Ablation for Hepatocellular Carcinoma: A Multicenter Study1
V Arienti, S Pretolani, CM Pacella, F Magnolfi, B Caspani, G Francica, ...
Radiology 246 (3), 947-955, 2008
Supplier’s total cost of ownership evaluation: a data envelopment analysis approach
F Visani, P Barbieri, FML Di Lascio, A Raffoni, D Vigo
Omega 61, 141-154, 2016
Cultural tourism and temporary art exhibitions in Italy: A panel data analysis
FML Di Lascio, S Giannerini, AE Scorcu, G Candela
Statistical Methods & Applications 20 (4), 519-542, 2011
Exploring copulas for the imputation of complex dependent data
FML Di Lascio, S Giannerini, A Reale
Statistical Methods & Applications 24 (1), 159-175, 2015
A copula-based algorithm for discovering patterns of dependent observations
FML Di Lascio, S Giannerini
Journal of Classification 29 (1), 50-75, 2012
On Rosen’s and Adler’s hypotheses in the modern and contemporary visual art market
G Candela, M Castellani, P Pattitoni, FML Di Lascio
Empirical Economics 51 (1), 415-437, 2016
Clustering dependent observations with copula functions
FML Di Lascio, S Giannerini
Statistical Papers 60 (1), 35-51, 2019
Copula–based clustering methods
FML Di Lascio, F Durante, R Pappada
Copulas and Dependence Models with Applications, 49-67, 2017
Wilks' λ dissimilarity measures for gene clustering: An approach based on the identification of transcription modules
A Roverato, FML Di Lascio
Biometrics 67 (4), 1236-1248, 2011
A copula-based clustering algorithm to analyse EU country diets
FML Di Lascio, M Disegna
Knowledge-Based Systems 132, 72-84, 2017
Analyzing the dependence structure of microarray data: a copula–based approach
FML Di Lascio
alma, 2008
Truncation invariant copulas and a testing procedure
FML Di Lascio, F Durante, P Jaworski
Journal of Statistical Computation and Simulation 86 (12), 2362-2378, 2016
CoImp: Copula Based Imputation Method. R package version 0.3-1
FML Di Lascio, S Giannerini
Imputation of complex dependent data by conditional copulas: analytic versus semiparametric approach
FML Di Lascio, S Giannerini, A Reale
Compstat 2014 Proceedings, 491-497, 2014
L’informazione privilegiata
S Lombardo
Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach
FML Di Lascio, A Menapace, M Righetti
Statistical Methods & Applications 29 (2), 373-395, 2020
A clustering approach and a rule of thumb for risk aggregation
FML Di Lascio, D Giammusso, G Puccetti
Journal of Banking & Finance 96, 236-248, 2018
Percutaneous real-time sonoelastography as a non-invasive tool for the characterization of solid focal liver lesions: A prospective study
V Cesario, E Accogli, A Domanico, FML Di Lascio, L Napoleone, ...
Digestive and Liver Disease 48 (2), 182-188, 2016
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