Our paper “Topology Adaptive Graph Estimation in High Dimensions” is now accepted and published in Mathematics here. Cheers, Christian! 🍺
We have a new paper “VC-PCR: a prediction method based on supervised variable selection and clustering” about variable clustering in transcriptomics and in general. Great work especially from Rebecca, who just defended her PhD, and from Rainer and Bernadette, the two other members of our Belgian🇧🇪-American🇺🇸-German🇩🇪 tag team!
Our paper “Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method” has been accepted at Nucleic Acids Research. Congratulations, Yannick and Li-Xuan! 🎊
Our paper “Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method” is now available on arXiv. Great to work with you, Yannick and Li-Xuan! 🦠
Our paper “Tuning parameter calibration for personalized prediction in medicine” at EJS is now published here.
Somnath Chakraborty has secured a three-month fellowship from the RUB research school to visit us here in Bochum! Congratulations! 🥳
Our paper “Estimating the lasso’s effective noise” at JMLR is now online here.
The textbook “Fundamentals of High-Dimensional Statistics: With Exercises and R Labs” has now appeared as a part of Springer Texts in Statistics. The book features step-by-step introductions, numerous exercises with solutions, and R labs. It is available as a hardcover, softcover, and ebook. Most university libraries have access to the ebook already—ask them otherwise, or ask them to get an actual book if you prefer. Get more information about the book here.
Our paper “Estimating the lasso’s effective noise” has been accepted at JMLR. A “thank you” to our wonderful collaborator Michael! 👑
Welcome to our two new PhD students Ali and Pegah! Looking forward to working with you. ⛳