Trevor J Hastie

Principal curve approaches for inferring 3D chromatin architecture.

Elena Tuzhilina, Trevor J Hastie, Mark R Segal, 2020, Biostatistics.

Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.

Madalina Fiterau, Scott L Delp, Jennifer L Hicks, 2018, Journal of biomechanics.

Targeted use of growth mixture modeling: a learning perspective

Booil Jo, L Eugene Arnold, Trevor J Hastie, 2017, Statistics in medicine.

Construction of longitudinal prediction targets using semisupervised learning

Booil Jo, L Eugene Arnold, Trevor J Hastie, 2018, Statistical methods in medical research.

Effective degrees of freedom: a flawed metaphor.

Lucas Janson, William Fithian, Trevor J Hastie, 2013, Biometrika.

Reduced-rank vector generalized linear models

Trevor J Hastie, Thomas W Yee, 2003 .

Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury

Max Wintermark, Sean Mackey, Marie Wasielewski, 2019, Scientific Reports.