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Trevor Hastie is a renowned statistician and author of books on nonparametric regression and classification. He works on applied problems in biology, medicine and industry, and has received several awards for his contributions to the field.
Hui Zou. Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. [1] Hastie is known for his contributions to applied statistics, especially in the field of machine ...
- Werner Stuetzle
Articles 1–20. Professor of Statistics, Stanford University - Cited by 362,221 - Statistical learning and modeling - data mining - machine learning.
Trevor Hastie is a renowned researcher in applied statistics, bioinformatics and machine learning. He is the John A. Overdeck Professor of Statistics at Stanford University and a member of several academic and professional organizations.
Trevor Hastie is a renowned researcher in applied statistics, bioinformatics and machine learning. He is the John A. Overdeck Professor of Statistics at Stanford University and a member of several academic and professional organizations.
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
Trevor Hastie is the John A Overdeck Professor of Statistics atStanford University. Hastie is known for his research in appliedstatistics, particularly in the fields of statistical modeling, bioinformaticsand machine learning. He has published six books and over 200research articles in these areas.
