Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Survey-robust uncertainty quantification in generalised additive models for location, scale, and shape
Dennis Meurer, Timo Adam
Conventional mean-only regression models are often too restrictive for the analysis of complex survey data, where interest frequently extends beyond the conditional mean to other a…
stat.ME2026
Non-Homogeneous Markov-Switching Generalized Additive Models for Location, Scale, and Shape
Katharina Ammann, Timo Adam, Jan-Ole Koslik
We propose an extension of Markov-switching generalized additive models for location, scale, and shape (MS-GAMLSS) that allows covariates to influence not only the parameters of th…