Trevor Hastie

Trevor Hastie, Jason D. Lee, T. Hastie, 2015, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

An Introduction to Statistical Learning

Trevor Hastie, Robert Tibshirani, Daniela Witten, 2013, Springer Texts in Statistics.

Generalized linear and generalized additive models in studies of species distributions: setting the scene

Trevor Hastie, Antoine Guisan, Thomas C. Edwards, 2002 .

ISSUES IN SEMI-PARAMETRIC REGRESSION WITH APPLICATIONS IN TIME SERIES MODELS FOR AIR POLLUTION AND MORTALITY

Trevor Hastie, Francesca Dominici, Aidan McDermott, 2003 .

A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank

Trevor Hastie, Robert Tibshirani, Yosuke Tanigawa, 2019, bioRxiv.

A model for signature verification

Trevor Hastie, E. Kishon, M. Clark, 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.

Integration of Mechanistic Immunological Knowledge into a Machine Learning Pipeline Increases Predictive Power

Trevor Hastie, Robert Tibshirani, Martin Becker, 2020, bioRxiv.

Algorithms and Inference

Trevor Hastie, Bradley Efron, T. Hastie, 2016 .

Error coding and PaCT's

Trevor Hastie, Gareth M. James, 1997 .

Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation

Trevor Hastie, T. Hastie, 2008 .

Linear Methods for Regression

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2001 .

Supervised Learning from Microarray Data

Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, 2002, COMPSTAT.

Extensions to other settings

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 2017 .

CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE.

Trevor Hastie, Robert Tibshirani, Scott Powers, 2015, The annals of applied statistics.

Making better biogeographical predictions of species’ distributions

Trevor Hastie, Antoine Guisan, Anthony Lehmann, 2006 .

Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays

Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, 2003 .

Multi-class AdaBoost ∗

Trevor Hastie, Ji Zhu, Hui Zou, 2009 .

Diagnosis of multiple cancer centroids of gene expression

Trevor Hastie, Robert Tibshiranit, Balasubramanian Narasimhai, 2016 .

A New Algorithm for Matched Case-Control Studies with Applications to Additive Models

Trevor Hastie, Daryl Pregibon, T. Hastie, 1988 .

Model Building and Feature Selection with Genomic Data

Trevor Hastie, Hui Zou, 2007 .

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.

Trevor Hastie, Noah Simon, Jerome Friedman, 2011, Journal of statistical software.

Overview of Supervised Learning

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2001 .

A method for proof of authenticity of a signature

Trevor Hastie, Eyal Kishon, Jason Chia-Sun Fan, 1992 .

Additive Models, Trees, and Related Methods

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2009 .

Smoothing in detail

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 2017 .

Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Trevor Hastie, Robert Tibshirani, Ken Jung, 2017, 1711.00083.

Neural Networks and Related Methods for Classification - Discussion

Trevor Hastie, Robert Tibshirani, David J. Hand, 1994 .

Objective Bayes Inference and MCMC

Trevor Hastie, Bradley Efron, T. Hastie, 2021, Computer Age Statistical Inference, Student Edition.

Linear Methods for Classification

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2001 .

Statistical Models in S

Trevor Hastie, John M. Chambers, T. Hastie, 1991 .

Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball

Trevor Hastie, Robert Tibshirani, Scott Powers, 2018, Statistical modelling.

Survival Analysis and Censored Data

Trevor Hastie, Robert Tibshirani, Gareth James, 2021, Springer Texts in Statistics.

Scalable logistic regression with crossed random effects

Trevor Hastie, Art B. Owen, Swarnadip Ghosh, 2021, Electronic Journal of Statistics.

Confidence Intervals for the Generalisation Error of Random Forests

Trevor Hastie, Robert Tibshirani, Stephen Bates, 2022 .

Estimating Heterogeneous Treatment Effects for General Responses

Trevor Hastie, Zijun Gao, T. Hastie, 2021, 2103.04277.

Weighted Low Rank Matrix Approximation and Acceleration pdf

Trevor Hastie, Elena Tuzhilina, T. Hastie, 2021, ArXiv.

LinCDE: Conditional Density Estimation via Lindsey's Method

Trevor Hastie, Zijun Gao, T. Hastie, 2021, J. Mach. Learn. Res..

Elastic Net Regularization Paths for All Generalized Linear Models

Trevor Hastie, J. Kenneth Tay, Balasubramanian Narasimhan, 2021, J. Stat. Softw..

Survival analysis on rare events using group-regularized multi-response Cox regression

Trevor Hastie, Robert Tibshirani, Ruilin Li, 2021, Bioinform..

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

Trevor Hastie, Robert Tibshirani, Stephen Bates, 2021, 2104.00673.

Canonical correlation analysis in high dimensions with structured regularization

Trevor Hastie, Elena Tuzhilina, Leonardo Tozzi, 2021, Statistical Modelling.

Radiation-induced gene expression in human subcutaneous fibroblasts is predictive of radiation-induced fibrosis.

Trevor Hastie, Jens Overgaard, Jan Alsner, 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Basis Expansions and Regularization

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2001 .

Risk factors for progressive cartilage loss in the knee: a longitudinal magnetic resonance imaging study in forty-three patients.

Trevor Hastie, Thomas P Andriacchi, Sandip Biswal, 2002, Arthritis and rheumatism.

Degrees‐of‐freedom tests for smoothing splines

Trevor Hastie, Eva Cantoni, T. Hastie, 2002 .

Non‐Parametric Logistic and Proportional Odds Regression

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 1987 .

Genetics of 35 blood and urine biomarkers in the UK Biobank

Trevor Hastie, Robert Tibshirani, Anna Shcherbina, 2020, Nature Genetics.

Boosting Algorithms: Regularization, Prediction and Model Fitting. Comment.

Trevor Hastie, T. Hastie, 2007 .

Averaged gene expressions for regression.

Trevor Hastie, Robert Tibshirani, Mee Young Park, 2007, Biostatistics.

Automatic Smoothing Spline Projection Pursuit

Trevor Hastie, Charles B. Roosen, T. Hastie, 1994 .

A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression

Trevor Hastie, Noah Simon, Jerome Friedman, 2013, 1311.6529.

Multivariate adaptive regression splines. Discussions

Trevor Hastie, Chong Gu, Grace Wahba, 1991 .

Microelectrode recording revealing a somatotopic body map in the subthalamic nucleus in humans with Parkinson disease.

Trevor Hastie, Pantaleo Romanelli, T. Hastie, 2004, Journal of neurosurgery.

Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers

Trevor Hastie, Michael T Longaker, Edwin H Rodriguez, 2006, PLoS medicine.

Regularization in Cox Frailty Models

Gerhard Tutz, Trevor Hastie, T. Hastie, 2016 .

Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2008 .

Discussion: Projection Pursuit

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 1985 .

Neural mechanisms of rhythm-based temporal prediction : Delta phase-locking reflects temporal predictability but not rhythmic entrainment

Trevor Hastie, Brian A. Wandell, Read More, 2017 .

Decreasing human body temperature in the United States since the Industrial Revolution

Trevor Hastie, Julie Parsonnet, Catherine Ley, 2019, bioRxiv.

[Monotone Regression Splines in Action]: Comment

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 1988 .

Linear Model Selection and Regularization

Trevor Hastie, Robert Tibshirani, Gareth M. James, 2021, Springer Texts in Statistics.

Generalized Linear Models

Trevor Hastie, Daryl Pregibon, T. Hastie, 2017 .

Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification.

Trevor Hastie, Howard Y. Chang, Howard Y Chang, 2008, European journal of cancer.

Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort

Trevor Hastie, Anna Shcherbina, Euan A. Ashley, 2016 .

Decreasing human body temperature in the United States since the Industrial Revolution

Trevor Hastie, Julie Parsonnet, Catherine Ley, 2020, eLife.

Support Vector Machines and Flexible Discriminants

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, 2009 .

The Graphical Lasso: New Insights and Alternatives

Trevor Hastie, Rahul Mazumder, T. Hastie, 2011, Electronic journal of statistics.

Evaluating quantitative proton‐density‐mapping methods

Trevor Hastie, Ariel Rokem, Shai Berman, 2016, Human brain mapping.

Polynomial splines and their tensor products in extended linear modeling. Discussion and rejoinder

Trevor Hastie, Chong Gu, Robert Tibshirani, 1997 .

Novel methods for the design and evaluation of marine protected areas in offshore waters

Trevor Hastie, Jane Elith, Atte Moilanen, 2008 .

The Jackknife and the Bootstrap

Trevor Hastie, Bradley Efron, T. Hastie, 2016 .

Model Inference and Averaging

Trevor Hastie, Robert Tibshirani, Trevor J. Hastie, 2001 .

Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach

Trevor Hastie, Rahul Mazumder, Júlia Viladomat, 2014, Biometrics.

Discussions of boosting papers, and rejoinders

Trevor Hastie, Peter J. Bickel, Robert Tibshirani, 2004 .

Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling

Trevor Hastie, Robert Tibshirani, Andrew H. Beck, 2009, Oncogene.

Gene expression patterns in ovarian carcinomas.

Trevor Hastie, Robert Tibshirani, David Botstein, 2003, Molecular biology of the cell.

Nonparametric Regression and Classification Part II—Nonparametric Classification

Trevor Hastie, R. J. Tibshirani, 1994 .

Imputing Missing Data for Gene Expression Arrays

Trevor Hastie, Robert Tibshirani, David Botstein, 2001 .

Statistical Models for Presence-Only Data: Finite-Sample Equivalence and Addressing Observer Bias

Trevor Hastie, William Fithian, T. Hastie, 2012 .

[Flexible Parsimonious Smoothing and Additive Modeling]: Discussion

Trevor Hastie, T. Hastie, 1989 .

Graphical Methods for Assessing Logistic Regression Models: Comment

Trevor Hastie, T. Hastie, 1984 .

Learning interactions through hierarchical group-lasso regularization

Trevor Hastie, T. Hastie, Michael Lim, 2013, 1308.2719.

Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature

Trevor Hastie, Paul Cane, Hongyue Dai, 2008, BMC Cancer.

Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer

Trevor Hastie, T. Hastie, P. Brown, 2007, Genome Biology.

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

Trevor Hastie, Predrag Radivojac, Saurabh Baheti, 2016, American journal of human genetics.

ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system

Trevor Hastie, Atul J Butte, Jacob J Hughey, 2016, Nucleic acids research.

Generalized Additive Model

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 2005 .

Submitted to the Annals of Applied Statistics FALSE VARIABLE SELECTION RATES IN REGRESSION By

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 2013 .

Polygenic risk modeling with latent trait-related genetic components

Trevor Hastie, Robert Tibshirani, Yosuke Tanigawa, 2019, European Journal of Human Genetics.

A Unified Near-Optimal Estimator For Dimension Reduction in l_α(0

Trevor Hastie, Ping Li, T. Hastie, 2007, NIPS 2007.

Discussion: Multivariate Adaptive Regression Splines

Trevor Hastie, Robert Tibshirani, Andreas Buja, 1991 .

Feature Extraction for Nonparametric Discriminant Analysis

Trevor Hastie, Mu Zhu, T. Hastie, 2003 .

Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons

Trevor Hastie, Robert Tibshirani, Ryan J. Tibshirani, 2020 .

[Generalized Additive Models]: Rejoinder

Trevor Hastie, Robert Tibshirani, R. Tibshirani, 1986 .

Clinically Relevant Molecular Subtypes in Leiomyosarcoma

Trevor Hastie, Andrew H. Beck, Xiangqian Guo, 2015, Clinical Cancer Research.

A Closer Look at the Deviance

Trevor Hastie, T. Hastie, 1987 .

The Geometric Interpretation of Correspondence Analysis

Trevor Hastie, Michael Greenacre, T. Hastie, 1987 .

CATS regression – a model‐based approach to studying trait‐based community assembly

Trevor Hastie, Bill Shipley, David I. Warton, 2015 .