6 citations · 11 across the 5 of their papers we have counts for
5 papers
Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs
Dominik Kirchhoff, Sonja Kuhnt
We introduce a method that uses low-rank approximations of cross-correlation matrices in mixed continuous and categorical Gaussian Process models. This new method -- called Low-Ran…
The numerical statistical fan for noisy experimental designs
Arkadius Kalka, Sonja Kuhnt
Identifiability of polynomial models is a key requirement for multiple regression. We consider an analogue of the so-called statistical fan, the set of all maximal identifiable hie…
Optimal designs for multi-response generalized linear models with applications in thermal spraying
Holger Dette, Laura Hoyden, Sonja Kuhnt +1
We consider the problem of designing experiments for investigating particle in-flight properties in thermal spraying. Observations are available on an extensive design for an initi…
Groups acting on Gaussian graphical models
Jan Draisma, Sonja Kuhnt, Piotr Zwiernik
Gaussian graphical models have become a well-recognized tool for the analysis of conditional independencies within a set of continuous random variables. From an inferential point o…
Outlier Detection in Contingency Tables based on Minimal Patterns
Sonja Kuhnt, Fabio Rapallo, André Rehage
A new technique for the detection of outliers in contingency tables is introduced. Outliers thereby are unexpected cell counts with respect to classical loglinear Poisson models. S…