F. Marta L. Di Lascio
Libera Università di Bolzano
H-index: 12
Europe-Italy
Top articles of F. Marta L. Di Lascio
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
A three-way dynamic panel threshold regression model for change point detection in bioimpedance data | F Marta L Di Lascio Selene Perazzini | 2024/4 | |
Hierarchical percentile clustering to analyse greenhouse gas emissions from agriculture in European Union | F Marta L Di Lascio Fabrizio Durante Aurora Gatto | 2023 | |
Cluster analysis and conditional copula: a joint approach to analyse energy demand | ClaDaG 2023-Book of abstracts and short papers | Francesca Marta Lilja Di Lascio Roberta Pappadà | 2023 |
Modelling spatial correlation between earthquake insured losses in New Zealand: a mixed-effects analysis | F Marta L Di Lascio Ilan Noy Selene Perazzini | 2022/12 | |
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening | Spatial Statistics | F Marta L Di Lascio Giacomo Falchetta Davide Ferrari | 2022/12/1 |
AMH copula-based clustering of variables with application to district heating demand | Book of Abstracts of the 15th International Conference of the ERCIM Working Group on CMStatistics | R Pappadà Francesca Marta Lilja Di Lascio Andrea Menapace | 2022 |
Spatial multilevel mixed effects modeling for earthquake insurance losses in New Zealand | Book of short papers: SIS 2021 | Francesca Marta Lilja Di Lascio Selene Perazzini | 2021 |
Ali-Mikhail-Haq copula to detect low correlations in hierarchical clustering | ClaDaG 2021-Book of abstracts and short papers | Francesca Marta Lilja Di Lascio Andrea Menapace Roberta Pappadà | 2021 |
A Spatial AMH Copula-Based Dissimilarity Measure to Cluster Variables in Panel Data | F Marta L Di Lascio Andrea Menapace Roberta Pappadà | 2021/12/28 | |
Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables | Computational Statistics & Data Analysis | Sebastian Fuchs Fabrizio Durante F Marta L Di Lascio | 2021/2/13 |
Analysing the relationship between district heating demand and weather conditions through conditional mixture copula | Environmental and Ecological Statistics | F Marta L Di Lascio Andrea Menapace Maurizio Righetti | 2021/3 |
The impact of institutional and cultural factors on the use of non-GAAP financial measures. International evidence from the oil and gas industry | Journal of International Accounting, Auditing and Taxation | Franco Visani F Marta L Di Lascio Silvia Gardini | 2020/9/1 |
Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: A copula-based approach | Statistical Methods & Applications | F Marta L Di Lascio Andrea Menapace Maurizio Righetti | 2020/6 |
Analysis of district heating demand through different copula-based approaches | Book of short papers SIS 2020 | Francesca Marta Lilja Di Lascio Andrea Menapace | 2020 |