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Joint Appointment or Affiliation: Bio-X. Trevor Hastie's main research contributions have been in the field of applied nonparametric regression and classification, and he has written two books in this area: "Generalized Additive Models" (with R. Tibshirani, Chapman and Hall, 1991), and "Elements of Statistical Learning" (with R. Tibshirani and J.
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 ...
Trevor Hastie is the John A Overdeck Professor of Statistics at Stanford University. Hastie is known for his research in applied statistics, particularly in the fields of statistical modeling, bioinformatics and machine learning. He has published six books and over 200 research articles in these areas. Prior to joining Stanford
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 at Stanford University. Hastie is known for his research in applied statistics, particularly in the fields of statistical modeling, bioinformatics and machine learning. He has published six books and over 200 research articles in these areas.
Articles 1–20. Professor of Statistics, Stanford University - Cited by 362,432 - Statistical learning and modeling - data mining - machine learning.
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.
