Trevor Hastie

Trevor Hastie

Stanford University

H-index: 149

North America-United States

About Trevor Hastie

Trevor Hastie, With an exceptional h-index of 149 and a recent h-index of 109 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Statistical learning and modeling, data mining, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Smooth multi-period forecasting with application to prediction of COVID-19 cases

In silico identification of putative causal genetic variants

Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank

The mosaic permutation test: an exact and nonparametric goodness-of-fit test for factor models

Package ‘sparsenet’

A modified Michaelis-Menten equation estimates growth from birth to 3 years in healthy babies in the USA

Feature-weighted elastic net: using “features of features” for better prediction

A tissue atlas of ulcerative colitis revealing evidence of sex-dependent differences in disease-driving inflammatory cell types and resistance to TNF inhibitor therapy

Trevor Hastie Information

University

Position

Professor of Statistics

Citations(all)

347120

Citations(since 2020)

152224

Cited By

263412

hIndex(all)

149

hIndex(since 2020)

109

i10Index(all)

419

i10Index(since 2020)

309

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Trevor Hastie Skills & Research Interests

Statistical learning and modeling

data mining

machine learning

Top articles of Trevor Hastie

Title

Journal

Author(s)

Publication Date

Smooth multi-period forecasting with application to prediction of COVID-19 cases

Journal of Computational and Graphical Statistics

Elena Tuzhilina

Trevor J Hastie

Daniel J McDonald

J Kenneth Tay

Robert Tibshirani

2024/1/5

In silico identification of putative causal genetic variants

bioRxiv

Zihuai He

Benjamin Chu

James Yang

Jiaqi Gu

Zhaomeng Chen

...

2024

Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank

arXiv preprint arXiv:2404.17626

Thomas Le Menestrel

Erin Craig

Robert Tibshirani

Trevor Hastie

Manuel Rivas

2024/4/26

The mosaic permutation test: an exact and nonparametric goodness-of-fit test for factor models

arXiv preprint arXiv:2404.15017

Asher Spector

Rina Foygel Barber

Trevor Hastie

Ronald N Kahn

Emmanuel Candès

2024/4/23

Package ‘sparsenet’

Rahul Mazumder

Trevor Hastie

Jerome Friedman

Maintainer Trevor Hastie

Depends Matrix

2024/2/5

A modified Michaelis-Menten equation estimates growth from birth to 3 years in healthy babies in the USA

BMC Medical Research Methodology

William A Walters

Catherine Ley

Trevor Hastie

Ruth E Ley

Julie Parsonnet

2024/2/1

Feature-weighted elastic net: using “features of features” for better prediction

Statistica Sinica

J Kenneth Tay

Nima Aghaeepour

Trevor Hastie

Robert Tibshirani

2023/1

A tissue atlas of ulcerative colitis revealing evidence of sex-dependent differences in disease-driving inflammatory cell types and resistance to TNF inhibitor therapy

Science advances

Aaron T Mayer

Derek R Holman

Anav Sood

Utkarsh Tandon

Salil S Bhate

...

2023/1/20

Canonical correlation analysis in high dimensions with structured regularization

Statistical modelling

Elena Tuzhilina

Leonardo Tozzi

Trevor Hastie

2023/6

Resampling methods

Xuming He

2017/10/12

Co-existence of negative and positive associations between cognition and intergenerational psychiatric symptoms reveal necessity of socioeconomic and clinical enrichment

medRxiv

Adam Pines

Leonardo Tozzi

Claire Bertrand

Arielle S Keller

Xue Zhang

...

2023/8/31

Deep learning

Data mining

Ian H Witten

Eibe Frank

Mark A Hall

Christopher J Pal

2017

Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery

Frontiers in Marine Science

Shinnosuke Nakayama

WenXin Dong

Richard G Correro

Elizabeth R Selig

Colette CC Wabnitz

...

2023/1/20

Cross-validation: what does it estimate and how well does it do it?

Journal of the American Statistical Association

Stephen Bates

Trevor Hastie

Robert Tibshirani

2023/5/11

Moving beyond linearity

Gareth James

Daniela Witten

Trevor Hastie

Robert Tibshirani

Jonathan Taylor

2023/7/1

Regularized Cox Regression

Kenneth Tay

Noah Simon

Jerome Friedman

Trevor Hastie

Rob Tibshirani

...

2023/8/19

Survival analysis and censored data

Gareth James

Daniela Witten

Trevor Hastie

Robert Tibshirani

Jonathan Taylor

2023/7/1

Use of a modified Michaelis-Menten equation to estimate growth from birth to 3 years in healthy full term babies.

Research Square

W Walters

C Ley

T Hastie

R Ley

J Parsonnet

2023/1/12

The Relaxed Lasso

Trevor Hastie

Balasubramanian Narasimhan

Rob Tibshirani

2023/3/22

Unsupervised learning

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Laura Igual

Santi Seguí

Laura Igual

Santi Seguí

2017

See List of Professors in Trevor Hastie University(Stanford University)

Co-Authors

H-index: 190
David Botstein

David Botstein

Princeton University

H-index: 180
Charles M. Perou

Charles M. Perou

University of North Carolina at Chapel Hill

H-index: 179
Robert Tibshirani

Robert Tibshirani

Stanford University

H-index: 112
B Efron

B Efron

Stanford University

H-index: 103
Matt van de Rijn

Matt van de Rijn

Stanford University

H-index: 91
Michael B. Eisen

Michael B. Eisen

University of California, Berkeley

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