2 citations · 2 across the 2 of their papers we have counts for
4 papers
Nonlinear association structures in flexible Bayesian additive joint models
Meike Köhler, Nikolaus Umlauf, Sonja Greven
Joint models of longitudinal and survival data have become an important tool for modeling associations between longitudinal biomarkers and event processes. The association between…
Selective inference after likelihood- or test-based model selection in linear models
David Rügamer, Sonja Greven
Statistical inference after model selection requires an inference framework that takes the selection into account in order to be valid. Following recent work on selective inference…
Signal Regression Models for Location, Scale and Shape with an Application to Stock Returns
Sarah Brockhaus, Andreas Fuest, Andreas Mayr +1
We discuss scalar-on-function regression models where all parameters of the assumed response distribution can be modeled depending on covariates. We thus combine signal regression…
Structured Functional Principal Component Analysis
Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu +1
Motivated by modern observational studies, we introduce a class of functional models that expands nested and crossed designs. These models account for the natural inheritance of co…