Trevor Hastie

Trevor HastieTrevor Hastie is John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He is coauthor of Elements of Statistical Learning, a key text in the field of modern data analysis. Heis also known for his work on generalized additive models and principal curves, and for his contributions to the R computing environment. Hastie was awarded the Emmanuel and Carol Parzen prize for Statistical Innovation in 2014. Read More Read Less

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Introduction to Statistical Learning9 % NR
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Introduction to Statistical Learning38 %
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Elements of Statistical Learning38 %
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Statistical Learning with Sparsity29 % NR
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Introduction to Statistical Learning
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An Introduction to Statistical Learning38 %
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Computer Age Statistical Inference16 %
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Computer Age Statistical Inference, Student Edition7 % NR
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Statistical Learning with Sparsity7 % NR
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Statistical Models in S41 %
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Introduction to Statistical Learning
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The Elements of Statistical Learning
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Combo of ( AN INTRODUCTION TO STATISTICAL LEARNING + The Elements of Statistical Learning )
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An Introduction to Statistical Learning1 % NR
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