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. ⛳
Our paper “Tuning parameter calibration for prediction in personalized medicine” has been accepted at Electronic Journal of Statistics. Congratulations to our students Yannick and Shih-Ting, and a “thank you” to our wonderful collaborator Kristoffer.
We have submitted a new paper “copula-based normalizing flows.” Great to work with you, Mike and Asja! ☄️
Our paper “Is there a role for statistics in artificial intelligence?” has been accepted at Advances in Data Analysis and Classification.
We have analized the vanishing-gradient problem in deep learning and potential remedies here. Congratulations, Leni! 🏄
The published version of “Statistical guarantees for regularized neural networks” can now be found
Our paper “Statistical guarantees for regularized neural networks” has been accepted at Neural Networks. Congrats, Mahsa and Fang! 🧉