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stat.AP2025
Mortality simulations for insured and general populations
Asmik Nalmpatian, Christian Heumann
This study presents a framework for high-resolution mortality simulations tailored to insured and general populations. Due to the scarcity of detailed demographic-specific mortalit…
stat.AP2024
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation
Fabian Obster, Christian Heumann
This paper introduces a novel framework for reducing variable selection bias by balancing selection frequencies of base-learners in boosting and introduces the sgboost package in R…
stat.AP2023
Advanced Techniques in Mortality Trend Estimation: Integrating Generalized Additive Models and Machine Learning to Evaluate the COVID-19 Impact
Asmik Nalmpatian, Christian Heumann, Stefan Pilz
The last two centuries have seen a significant increase in life expectancy. Although past trends suggest that mortality will continue to decline in the future, uncertainty and inst…