Bayesian Modelling of Lexis Mortality Data

Autor: Divino, Fabio, Belay, Denekew Bitew, Keilman, Nico, Frigessi, Arnoldo

In this work we present a spatial approach to model and investigate mortality data referenced over a Lexis structure. We decompose the force of mortality into two interpretable components: a Markov random field, smooth with respect to time, age and c

Externí odkaz: http://arxiv.org/abs/1810.09138

A probabilistic forecast of the immigrant population of Norway

Autor: Keilman, Nico

Externí odkaz: https://hdl.handle.net/11250/3048546

Editorial : The past, present, and future of Demographic Research

Autor: Feeney, Griffith, Keilman, Nico, Schmertmann, Carl, Bijak, Jakub

Publikováno v: Demographic Research, 2019 Jul 01. 41, 1197-1204.

Externí odkaz: https://www.jstor.org/stable/26850681

Do Japanese and Italian Women Live Longer than Women in Scandinavia?

Autor: Borgan, Ørnulf, Keilman, Nico

Publikováno v: European Journal of Population / Revue Européenne de Démographie, 2019 Feb 01. 35(1), 87-99.

Externí odkaz: https://www.jstor.org/stable/45178640

European Mortality Forecasts: Are the Targets Still Moving?

Autor: Keilman, Nico, Kristoffersen, Sigve

Publikováno v: Keilman, Nico Kristoffersen, Sigve . European Mortality Forecasts: Are the Targets Still Moving?. Developments in Demographic Forecasting. 2020, 179-192 Springer Nature

Externí odkaz: http://hdl.handle.net/10852/80233
https://www.duo.uio.no/bitstream/handle/10852/80233/2/Keilman-Kristoffersen2020_Chapter_EuropeanMortalityForecastsAreT.pdf