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stat.ME2015
Generalized Functional Additive Mixed Models
Fabian Scheipl, Jan Gertheiss, Sonja Greven
We propose a comprehensive framework for additive regression models for non-Gaussian functional responses, allowing for multiple (partially) nested or crossed functional random eff…
stat.ME2015★ 3 cited
Identifiability in penalized function-on-function regression models
Fabian Scheipl, Sonja Greven
Regression models with functional responses and covariates constitute a powerful and increasingly important model class. However, regression with functional data poses well known a…