research
∙
06/24/2023
Selective inference using randomized group lasso estimators for general models
Selective inference methods are developed for group lasso estimators for...
share
research
∙
01/27/2022
Robust and efficient estimation of nonparametric generalized linear models
Generalized linear models are flexible tools for the analysis of diverse...
research
∙
09/22/2021
Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion
We investigate the issue of post-selection inference for a fixed and a m...
research
∙
02/09/2021
Nonparametric C- and D-vine based quantile regression
Quantile regression is a field with steadily growing importance in stati...
research
∙
06/12/2020
Detangling robustness in high dimensions: composite versus model-averaged estimation
Robust methods, though ubiquitous in practice, are yet to be fully under...
research
∙
09/18/2019
Modeling the occurrence of events subject to a reporting delay via an EM algorithm
A delay between the occurrence and the reporting of events often has pra...
research
∙
05/14/2019
Shifting attention to old age: Detecting mortality deceleration using focused model selection
The decrease in the increase in death rates at old ages is a phenomenon ...
research
∙
08/14/2017