F. Marta L. Di Lascio

F. Marta L. Di Lascio

Libera Università di Bolzano

H-index: 12

Europe-Italy

About F. Marta L. Di Lascio

F. Marta L. Di Lascio, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Libera Università di Bolzano, specializes in the field of Multivariate dependence models with copulas, Clustering algorithms, Imputation methods, Economic and medical applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

A three-way dynamic panel threshold regression model for change point detection in bioimpedance data

Hierarchical percentile clustering to analyse greenhouse gas emissions from agriculture in European Union

Cluster analysis and conditional copula: a joint approach to analyse energy demand

Modelling spatial correlation between earthquake insured losses in New Zealand: a mixed-effects analysis

Change detection from high-resolution airborne laser scans using penalized composite likelihood screening

AMH copula-based clustering of variables with application to district heating demand

Spatial multilevel mixed effects modeling for earthquake insurance losses in New Zealand

Ali-Mikhail-Haq copula to detect low correlations in hierarchical clustering

F. Marta L. Di Lascio Information

University

Position

Assistant professor (fixed-term) in Statistics Italy

Citations(all)

650

Citations(since 2020)

288

Cited By

479

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

12

Email

University Profile Page

Libera Università di Bolzano

Google Scholar

View Google Scholar Profile

F. Marta L. Di Lascio Skills & Research Interests

Multivariate dependence models with copulas

Clustering algorithms

Imputation methods

Economic and medical applications

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

See List of Professors in F. Marta L. Di Lascio University(Libera Università di Bolzano)

Co-Authors

H-index: 27
Matteo Magnani

Matteo Magnani

Uppsala Universitet

H-index: 18
Simone Giannerini

Simone Giannerini

Università degli Studi di Bologna

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