T
Trevor Hastie
Researcher at Stanford University
Publications - 428
Citations - 230646
Trevor Hastie is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Feature selection. The author has an hindex of 124, co-authored 412 publications receiving 202592 citations. Previous affiliations of Trevor Hastie include University of Waterloo & University of Toronto.
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Journal ArticleDOI
3-D curve matching using splines
TL;DR: A machine vision algorithm to find the longest common subcurve of two 3-D curves is presented, of average complexity O(n) where n is the number of the sample points on the two curves.
Book ChapterDOI
Support Vector Machines and Flexible Discriminants
TL;DR: In this article, the authors describe generalizations of linear decision boundaries for classification, including flexible discriminant analysis which facilitates construction of nonlinear boundaries in a manner very similar to the support vector machines.
Journal ArticleDOI
Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants
Andrea N. Goldstein-Piekarski,Andrea N. Goldstein-Piekarski,Mayuresh S. Korgaonkar,Erin M. Green,Trisha Suppes,Alan F. Schatzberg,Trevor Hastie,Charles B. Nemeroff,Leanne M. Williams,Leanne M. Williams +9 more
TL;DR: The interaction between amygdala activation engaged by emotional stimuli and ELS predicts functional remission on antidepressants with a greater than 80% cross-validated accuracy, identifying a human target for elucidating the mechanisms of antidepressant functional remission and offer a target for developing novel therapeutics.
Journal ArticleDOI
A clinico-genomic analysis of soft tissue sarcoma patients reveals CDKN2A deletion as a biomarker for poor prognosis.
Nam Bui,Joanna Przybyl,Sally E. Trabucco,Garrett M. Frampton,Trevor Hastie,Matt van de Rijn,Kristen N. Ganjoo +6 more
TL;DR: Clinico-genomic profiling of STS shows that CDKN2A deletion was the most prevalent DNA copy number aberration and was associated with poor prognosis.
Journal ArticleDOI
Quantitative determination of age-related geometric changes in the normal abdominal aorta
Dominik Fleischmann,Trevor Hastie,Felix C. Dannegger,David S. Paik,Manfred Tillich,Christopher K. Zarins,Geoffrey D. Rubin +6 more
TL;DR: The abdominal aorta undergoes considerable geometric changes when a patient is between 19 and 67 years of age, leading to an increase of aortic taper with time, and the hemodynamic consequences of this geometric evolution for the development of aortsic disease still need to be established.