Martina NARDON

Position
Researcher
Roles
Member of the Economics Area Degree Commitee
Telephone
041 234 7413 / 041 234 6664
E-mail
mnardon@unive.it
Scientific sector (SSD)
Metodi matematici dell'economia e delle scienze attuariali e finanziarie [STAT-04/A]
Website
www.unive.it/people/mnardon (personal record)
Office
Department of Economics
Website: https://www.unive.it/dep.economics
Where: San Giobbe
Office
Interdepartmental School of Economics, Languages and Entrepreneurship
Website: https://www.unive.it/sele
Where: Treviso - Palazzo San Paolo

Luca Barzanti, Martina Nardon Modeling the gift in fundraising process: A parametric approach for the donations’ count in MATHEMATICAL METHODS IN ECONOMICS AND FINANCE, vol. 17/18, pp. 29-44 (ISSN 1971-6419)
- URL correlato 2024, Journal Article - ARCA card: 10278/5063805


Barro, Diana; Barzanti, Luca; Corazza, Marco; Nardon, Martina Input Relevance in Multi-Layer Perceptron for Fundraising , Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024, Springer, Cham, pp. 31-36 (ISBN 9783031642722; 9783031642739)
DOI 2024, Book Article - ARCA card: 10278/5068305


M. Nardon Insurance premium implied by rank dependence and probability distortion , Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024, Springer, Cham, pp. 235-241 (ISBN 9783031642722; 9783031642739)
DOI - URL correlato 2024, Book Article - ARCA card: 10278/5069381


Diana Barro, Marco Corazza, Martina Nardon Alternative Probability Weighting Functions in Behavioral Portfolio Selection , Studies in Theoretical and Applied Statistics. SIS 2021, Cham, Springer, vol. 406, pp. 117-134 (ISBN 978-3-031-16608-2; 978-3-031-16609-9) (ISSN 2194-1009)
DOI - URL correlato 2023, Book Article - ARCA card: 10278/5019327


Diana Barro, Luca Barzanti, Marco Corazza, Martina Nardon Machine Learning and Fundraising: Applications of Artificial Neural Networks , Working Paper - Department of Economics, Ca' Foscari University of Venice, Venezia, DEPARTMENT OF ECONOMICS, CÀ FOSCARI UNIVERSITY OF VENICE, vol. 33/WP/2023-18 (ISSN 1827-3580)
- URL correlato 2023, Book Article - ARCA card: 10278/5050280