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Found 4 papers, 0 papers with code
Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data
The model performs best in winter, with the highest predicted UL risk coinciding with observed peaks in measured lightning at tall objects.
Scalable Estimation for Structured Additive Distributional Regression
Recently, fitting probabilistic models have gained importance in many areas but estimation of such distributional models with very large data sets is a difficult task.
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology
This leads to a large underestimation of the proportion of LLS-non-detectable UL at wind turbines, which is the dominant lightning type in the cold season.
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
At the core of the package are algorithms for highly-efficient Bayesian estimation and inference that can be applied to generalized additive models (GAMs) or generalized additive models for location, scale, and shape (GAMLSS), also known as distributional regression.
