References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Basellini, Ugofilippo; Kjærgaard, Søren; Camarda, Carlo Giovanni: An age-at-death distribution approach to forecast cohort mortality (2020)
  2. Guibert, Quentin; Lopez, Olivier; Piette, Pierrick: Forecasting mortality rate improvements with a high-dimensional VAR (2019)
  3. Pascariu, Marius D.; Lenart, Adam; Canudas-Romo, Vladimir: The maximum entropy mortality model: forecasting mortality using statistical moments (2019)
  4. Andrés Villegas; Vladimir Kaishev; Pietro Millossovich: StMoMo: An R Package for Stochastic Mortality Modeling (2018) not zbMATH
  5. Carfora, M. F.; Cutillo, L.; Orlando, A.: A quantitative comparison of stochastic mortality models on Italian population data (2017)
  6. Carracedo, Patricia; Debón, Ana: Spatial statistical tools to assess mortality differences in Europe (2017)
  7. Li, Han; O’Hare, Colin: Semi-parametric extensions of the Cairns-Blake-Dowd model: a one-dimensional kernel smoothing approach (2017)
  8. Canudas-Romo, Vladimir; DuGoff, Eva; Wu, Albert W.; Ahmed, Saifuddin; Anderson, Gerard: Life expectancy in 2040: what do clinical experts expect? (2016)
  9. Hana Ševčíková and Adrian Raftery: bayesPop: Probabilistic Population Projections (2016) not zbMATH
  10. Ekheden, Erland; Hössjer, Ola: Multivariate time series modeling, estimation and prediction of mortalities (2015)
  11. D’Amato, Valeria; Haberman, Steven; Piscopo, Gabriella; Russolillo, Maria: Computational framework for longevity risk management (2014)
  12. Giorgio Spedicato: The lifecontingencies Package: Performing Financial and Actuarial Mathematics Calculations in R (2013) not zbMATH
  13. Hansen, Hendrik: The forecasting performance of mortality models (2013)
  14. Debón, A.; Montes, F.; Sala, R.: A comparison of models for dynamic life tables. Application to mortality data from the Valencia region (Spain) (2006)