1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
Andrea Nigri, Han Lin Shang, Francesco Ungolo
Separate modelling of cause specific mortality rates and their projections can yield inconsistent forecasts when the sum of deaths by cause does not match the total observed in a p…
Age-period modeling of mortality gaps: the cases of cancer and circulatory diseases
Giacomo Lanfiuti Baldi, Andrea Nigri, Han Lin Shang
Understanding and modeling mortality patterns, especially differences in mortality rates between populations, is vital for demographic analysis and public health planning. We compa…
Modelling higher education dropouts using sparse and interpretable post-clustering logistic regression
Andrea Nigri, Massimo Bilancia, Barbara Cafarelli +1
Higher education dropout constitutes a critical challenge for tertiary education systems worldwide. While machine learning techniques can achieve high predictive accuracy on select…
Deepening Lee-Carter for longevity projections with uncertainty estimation
Mario Marino, Susanna Levantesi, Andrea Nigri
Undoubtedly, several countries worldwide endure to experience a continuous increase in life expectancy, extending the challenges of life actuaries and demographers in forecasting m…