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GRK 2624
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Research
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Projects
R4: RegImage-Tox
either linearly or non-linearly in the model, or are completely excluded (see, e.g., Groll and Tutz, 2012). If the response distribution depends on several parameters (e.g., mean µ and variance σ² for the [...] Descent. Journal of Statistical Software, 33(1), 1-22. doi: 10.18637/jss.v033.i01 Groll A , Tutz G (2012). Regularization for generalized additive mixed models by likelihood-based boosting. Methods of I …