3 papers
math.ST2024
Poisson Regression in one Covariate on Massive Data
Torsten Reuter, Rainer Schwabe
The goal of subsampling is to select an informative subset of all observations, when using the full data for statistical analysis is not viable. We construct locally -optimal…
math.ST2023
Optimal Subsampling Design for Polynomial Regression in one Covariate
Torsten Reuter, Rainer Schwabe
Improvements in technology lead to increasing availability of large data sets which makes the need for data reduction and informative subsamples ever more important. In this paper…
stat.ME2023
-Optimal and Nearly -Optimal Exact Designs for Binary Response on the Ball
Martin Radloff, Rainer Schwabe
In this paper the results of Radloff and Schwabe (2019a) will be extended for a special class of symmetrical intensity functions. This includes binary response models with logit an…