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:

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

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

In silico identification of putative causal genetic variants

A Statistical View of Column Subset Selection

Scalable solution to crossed random effects model with random slopes

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

Google Scholar

Trevor Hastie Skills & Research Interests

Statistical learning and modeling

data mining

machine learning

Top articles of Trevor Hastie

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

arXiv preprint arXiv:2404.17626

2024/4/26

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

arXiv preprint arXiv:2404.15017

2024/4/23

Package ‘sparsenet’

2024/2/5

Rahul Mazumder
Rahul Mazumder

H-Index: 18

Trevor Hastie
Trevor Hastie

H-Index: 105

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

BMC Medical Research Methodology

2024/2/1

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

Journal of Computational and Graphical Statistics

2024/1/5

A Statistical View of Column Subset Selection

arXiv preprint arXiv:2307.12892

2023/7/24

Trevor Hastie
Trevor Hastie

H-Index: 105

Scalable solution to crossed random effects model with random slopes

arXiv preprint arXiv:2307.12378

2023/7/23

Disha Ghandwani
Disha Ghandwani

H-Index: 1

Trevor Hastie
Trevor Hastie

H-Index: 105

Deep learning

Data mining

2017

Multiple testing

New Palgrave Dictionary of Economics

2010

Statistical learning

Brain mapping

2015/1/1

Resampling methods

2017/10/12

Unsupervised learning

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

2017

Tree-based methods

2008/11/28

An introduction to statistical learning: With applications in python

2023/6/30

Canonical correlation analysis in high dimensions with structured regularization

Statistical modelling

2023/6

Leonardo Tozzi
Leonardo Tozzi

H-Index: 15

Trevor Hastie
Trevor Hastie

H-Index: 105

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

Journal of the American Statistical Association

2023/5/11

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

Co-Authors

academic-engine