| Forecasting mortality in subpopulations using Lee–Carter type models: A comparison IL Danesi, S Haberman, P Millossovich Insurance: Mathematics and Economics 62, 151-161, 2015 | 78 | 2015 |
| Optimal B-robust posterior distributions for operational risk IL Danesi, F Piacenza, E Ruli, L Ventura Journal of Operational Risk, Forthcoming, 2016 | 6 | 2016 |
| Forecasting mortality in related populations using Lee-Carter type models IL Danesi Università degli studi di Padova, 2014 | 4 | 2014 |
| A Customer Relationship Management Case Study Based on Banking Data IL Danesi, C Rea Machine Learning, Optimization, and Big Data: Second International Workshop …, 2016 | 2 | 2016 |
| Robust estimators for operational risk: a computationally efficient approach IL Danesi, UCBI Solutions Technical Report. Working Paper Series, 2015 | 2 | 2015 |
| Package ‘OBRE’ A Riboldi, IL Danesi, F Piacenza, R Ciaponi, S Allen, N Saccenti, A Filippi, ... | | 2017 |
| POSTERIOR DISTRIBUTIONS FROM OPTIMALLY BRobust ESTIMATING FUNCTIONS AND APPROXIMATE BAYESIAN COMPUTATION IL Danesi, F Piacenza, E Ruli, L Ventura BOOK OF ABSTRACTS, 464, 2015 | | 2015 |
| Mortality forecasting for related populations using Lee-Carter type models IL Danesi, S Haberman, P Millossovich 28th International Workshop on Statistical Modelling, 551, 2013 | | 2013 |
| An application of kriging to Italian mortality rates IL Danesi, M Kaucic, N Torelli Proceedings of S. Co: 2013-Complex Data Modeling and Computationally …, 2013 | | 2013 |
| Forecasting Mortality in Related Populations Using Lee-Carter Type Models: A Comparison IL Danesi, P Millossovich, S Haberman | | |
| Random Garden: a Supervised Learning Algorithm IL Danesi, V Danese, N Russo, E Tonini | | |
| Forecasting Mortality in Related Populations Using Lee-Carter Type Models: A Comparison P Millossovich, IL Danesi, S Haberman | | |
Pietro MillossovichBayes Business SchoolBestätigte E-Mail-Adresse bei city.ac.uk
