Overview
Carlo G. Camarda is a researcher at INED (Institut National d'Études Démographiques), Paris. His work focuses on flexible nonparametric mortality modelling using P-splines, including the MortalitySmooth R package (for smoothing Poisson mortality counts) and the Sum of Smooth Exponentials (SSE) model for decomposing age-specific mortality into additive phase components. He developed the SSE model (Camarda, Eilers, and Gampe 2016) that underlies the Remund et al. (2018) hump decomposition method.
Key Contributions / Features
- MortalitySmooth R package (2012, Journal of Statistical Software): P-spline smoother for Poisson-distributed mortality counts; widely used for graduating cause-specific death rates from abridged to single-age data.
- SSE model (Camarda, Eilers, and Gampe 2016, Statistical Modelling): Sum of smooth exponentials framework for decomposing the force of mortality into additive components (ontogenescence, hump, senescence) using P-splines with shape constraints; the methodological core of Remund et al. (2018).
- Remund, Camarda, and Riffe (2018, Demography): Co-author; contributed the SSE methodology, constrained estimation algorithm, and cause-deletion decomposition approach.
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