5 papers
Safe and Sharp Honest Inference for Nonparametric Estimation via Empirical Bernstein Calibration
Zihao Yuan, Sven Klaassen, Holger Dette
Honest confidence intervals for nonparametric estimators usually need to balance two competing goals: uniformly small undercoverage over a prescribed smoothness class and interval…
Testing for Single-Population Ancestry in the Admixture Model
Holger Dette, Carola Sophia Heinzel, Zoe Lange +1
The Admixture Model describes genetic marker data by representing each individual's genome as a mixture of contributions from ancestral populations, with the individual admixtu…
Testing similarity of competing risks models by comparing transition probabilities
Zoe Kristin Lange, Maryam Farhadizadeh, Holger Dette +1
Assessing whether two patient populations exhibit comparable event dynamics is essential for evaluating treatment equivalence, pooling data across cohorts, or comparing clinical pa…
Validating spatial-temporal separability for stationary processes
Lujia Bai, Holger Dette, Zihao Yuan
A crucial assumption to reduce computational complexity in spatial-temporal data analysis is separability, which factors the covariance structure into a purely spatial and a purely…
Practically significant differences between conditional distribution functions
Holger Dette, Kathrin Möllenhoff, Dominik Wied
In the framework of semiparametric distribution regression, we consider the problem of comparing the conditional distribution functions corresponding to two samples. In contrast to…