6 papers
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…
Safe and Sharp Honest Inference for Nonparametric Estimation via Empirical Bernstein Calibration
Zihao Yuan, Sven Klaassen, Holger Dette
Constructing honest confidence intervals often depends on reliable bias control and accurate calibration based on asymptotic normality, including standard-normal and folded-normal…
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…
Testing similarity of competing risks models by comparing transition probabilities
Zoe Kristin Lange, Maryam Farhadizadeh, Holger Dette +1
Assessing whether patient populations exhibit comparable event dynamics is important for evaluating treatment equivalence, pooling cohorts and comparing clinical pathways. Existing…
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…
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
Kathrin Möllenhoff, Nadine Binder, Holger Dette
The identification of similar patient pathways is a crucial task in healthcare analytics. A flexible tool to address this issue are parametric competing risks models, where transit…