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Francesco Ungolo
Francesco Ungolo
School of Risk and Actuarial Studies - University of New South Wales
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
Survival analysis of pension scheme mortality when data are missing
F Ungolo, MC Christiansen, T Kleinow, AS Macdonald
Scandinavian Actuarial Journal 2019 (6), 1-25, 2019
72019
Estimation, Comparison and Projection of Multi-factor Age-Cohort Affine Mortality Models
F Ungolo, LP Garces, M Sherris, Y Zhou
North American Actuarial Journal, 1-23, 2023
5*2023
A hierarchical model for the joint mortality analysis of pension scheme data with missing covariates
F Ungolo, T Kleinow, AS Macdonald
Insurance: Mathematics and Economics 91, 68-84, 2020
52020
Inference on latent factor models for informative censoring
F Ungolo, ER van den Heuvel
Statistical Methods in Medical Research 31 (5), 801-820, 2022
32022
Survival analysis of actuarial data with missing observations
F Ungolo
Heriot-Watt University, 2019
22019
A Dirichlet Process Mixture Regression Model for the Analysis of Competing Risk Events
F Ungolo, ER van den Heuvel
Insurance: Mathematics and Economics 116, 95-113, 2024
12024
A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population
M Euthum, M Scherer, F Ungolo
European Actuarial Journal, 2024
2024
An Augmented Variable Dirichlet Process Mixture model for the analysis of dependent lifetimes
F Ungolo
https://ssrn.com/abstract=4428250, 2023
2023
Affine Mortality Models with Jumps: Parameter Estimation and Forecasting
LP Garces, J Kolar, M Sherris, F Ungolo
UNSW Business School Research Paper Forthcoming, 2022
2022
AffineMortality: An R Package for Estimation, Analysis and Projection of Affine Mortality Models
F Ungolo, LP Garces, M Sherris, Y Zhou
UNSW Business School Research Paper Forthcoming, 2021
2021
Parametric bootstrap estimation of standard errors in survival models when covariates are missing
F Ungolo, T Kleinow, AS Macdonald
Mathematical and Statistical Methods for Actuarial Sciences and Finance …, 2021
2021
Utilizing Topographic Finance to Understand Volatility
P Cottrell, F Ungolo
Available at SSRN 2590405, 2015
2015
ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΕΙΡΑΙΩΣ ΣΧΟΛΗ ΧΡΗΜΑΤΟΟΙΚΟΝΟΜΙΚΗΣ ΚΑΙ ΣΤΑΤΙΣΤΙΚΗΣ ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ ΚΑΙ ΑΣΦΑΛΙΣΤΙΚΗΣ ΕΠΙΣΤΗΜΗΣ
F Ungolo
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