no code implementations • 4 May 2023 • Fabian Obster, Christian Heumann, Heidi Bohle, Paul Pechan
We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data.
no code implementations • 11 Jan 2023 • Fabian Obster, Heidi Bohle, Paul M. Pechan
Machine learning and statistical modeling methods were used to analyze the impact of climate change on financial wellbeing of fruit farmers in Tunisia and Chile.