96 citations · 128 across the 8 of their papers we have counts for
9 papers
Nonparametric Estimation of the Underlying Distribution of Binned Continuous Data
Ejike R. Ugba, Jan Gertheiss
The estimation of cumulative distribution functions (CDF) and probability density functions (PDF) is a fundamental practice in applied statistics. However, challenges often arise w…
Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
Aisouda Hoshiyar, Laura H. Gertheiss, Jan Gertheiss
Ordinal data are quite common in applied statistics. Although some model selection and regularization techniques for categorical predictors and ordinal response models have been de…
A Modification of McFadden's for Binary and Ordinal Response Models
Ejike R. Ugba, Jan Gertheiss
A lot of studies on the summary measures of predictive strength of categorical response models consider the likelihood ratio index (LRI), also known as the McFadden-, a better…
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…