We have uploaded a new paper on prediction in personalized medicine here. Congratulations to Shih-Ting and Yannick, who are the student authors of this paper!
Author Archives: LedererLab
Mike completed Master’s thesis
Mike Laszkiewicz has completed his Master’s thesis about Graphical Models. Congratulations! 🎓
Tuning Parameters in Logistic Regression
Our paper “Tuning parameter calibration for
l1-regularized logistic regression” has now been published in the Journal of Statistical Planning and Inference.
Yunqi and Rui passed final exams
Yunqi Bu and Rui Zhuang passed their final doctoral exams and thereby earned their PhDs from University of Washington. Congratulations! 👩🎓👩🎓
FDR Control in Regression and Graphical Modeling
Prediction Guarantees for the TREX
Our paper “Prediction error bounds for linear regression with the TREX” has now been published in Test.
Graphical Models for Various Data Types
Oracle inequalities for high-dimensional prediction
Our paper on oracle inequalities is now published in Bernoulli 2019, Vol. 25, No. 2, 1225-1255. The weblink is here.
Team Updates
Our RUB-team has gained a number of new members over the last months. We welcome the post-doctoral researcher Fang Xie (University of Macau, China), the PhD students Yannick Düren (RTWH Aachen), Shih-Ting Huang (Temple University, USA/National Taipei University, Taiwan), and Mahsa Taheri (Esfahan University of Technology, Iran), and the Master’s student Mike Laszkiewicz (RUB)!
High-dimensional Logistic Regression With Guarantees
Our paper “Tuning parameter calibration for l1-regularized logistic regression” has been accepted at JSPI. Congratulations Wei! 🤠
