96 citations · 128 across the 8 of their papers we have counts for
4 papers · 1 filter
Nonparametric Regression and Classification with Functional, Categorical, and Mixed Covariates
Leonie Selk, Jan Gertheiss
We consider nonparametric prediction with multiple covariates, in particular categorical or functional predictors, or a mixture of both. The method proposed bases on an extension o…
Ride Sharing & Data Privacy: An Analysis of the State of Practice
Carsten Hesselmann, Jan Gertheiss, Jörg P. Müller
Digital services like ride sharing rely heavily on personal data as individuals have to disclose personal information in order to gain access to the market and exchange their infor…
Penalized Optimal Scaling for Ordinal Variables with an Application to International Classification of Functioning Core Sets
Aisouda Hoshiyar, Henk A. L. Kiers, Jan Gertheiss
Ordinal data occur frequently in the social sciences. When applying principal component analysis (PCA), however, those data are often treated as numeric implying linear relationshi…
Statistical Inference for Ordinal Predictors in Generalized Linear and Additive Models with Application to Bronchopulmonary Dysplasia
Jan Gertheiss, Fabian Scheipl, Tina Lauer +1
Discrete but ordered covariates are quite common in applied statistics, and some regularized fitting procedures have been proposed for proper handling of ordinal predictors in stat…