Francesca PARPINEL

Position
Associate Professor
Roles
Department’s Delegate for Language Training
Telephone
041 234 7442 / 041 234 6664
E-mail
parpinel@unive.it
Fax
0422 513 715
Scientific sector (SSD)
Statistica [STAT-01/A]
Website
www.unive.it/people/parpinel (personal record)
 http://www.dst.unive.it/~parpinel/france/
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

Pizzi, Claudio; Farsura, Federico; Corazza, Marco; Parpinel, Francesca Corporate Financial Distress Prediction with Machine Learning Techniques in Pizzi C., Farsura F., Corazza M., Parpinel F., Advanced Neural Artificial Intelligence: Theories and Applications, Singapore, link esterno , vol. 428, pp. 311-322 (ISBN 9789819609932; 9789819609949) (ISSN 2190-3018)
DOI 2025, Book Article - ARCA card: 10278/5100087


Parpinel, Francesca; Pizzi, Claudio Dal problema alla soluzione. Guida pratica per principianti alla programmazione in R , Torino, G. Giappichelli Editore srl (ISBN 9791221106848; 9791221156867)
2024, Scientific monograph or treatise - ARCA card: 10278/5061884


Barro, Diana; Parpinel, Francesca; Pizzi, Claudio Pricing Rainfall Derivatives by Genetic Programming: A Case Study in Barro D., Parpinel F. and Pizzi C., Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2022, Cham, Springer, pp. 64-69 (ISBN 978-3-030-99637-6; 978-3-030-99638-3)
DOI - URL correlato 2022, Book Article - ARCA card: 10278/3761388


Marco Corazza; Francesca Parpinel; Claudio Pizzi Trading system mixed-integer optimization by PSO , Mathematical and Statistical Methods for Actuarial Science and Finance. eMAF 2020, Cham, Springer, pp. 161-167 (ISBN 978-3-030-78964-0)
DOI - URL correlato 2021, Book Article - ARCA card: 10278/3757012


Pizzi Claudio, Parpinel Francesca, Frattarolo Lorenzo Combining permutation tests to rank systemically important banks in STATISTICAL METHODS & APPLICATIONS, vol. 29, pp. 581-596 (ISSN 1618-2510)
DOI - URL correlato 2020, Journal Article - ARCA card: 10278/3720781