Trevor Hastie | Academic Influence

Trevor Hastie's AcademicInfluence.com Rankings

Trevor Hastie

Computer Science

#165

World Rank

#172

Historical Rank

#98

USA Rank

Data Mining

#2

World Rank

#2

Historical Rank

#1

USA Rank

Machine Learning

#9

World Rank

#9

Historical Rank

#4

USA Rank

computer-science Degrees

Trevor Hastie

Mathematics

#376

World Rank

#774

Historical Rank

#177

USA Rank

Statistics

#20

World Rank

#29

Historical Rank

#13

USA Rank

Measure Theory

#55

World Rank

#91

Historical Rank

#29

USA Rank

mathematics Degrees

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Computer Science
Mathematics

Trevor Hastie's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University
Bachelors Mathematics University of Cape Town

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Why Is Trevor Hastie Influential?

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According to Wikipedia, Trevor John Hastie is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge.

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Trevor Hastie's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Regularization and variable selection via the elastic net (2005) (15529)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition (2005) (14017)
Regularization Paths for Generalized Linear Models via Coordinate Descent. (2010) (13067)
The Elements of Statistical Learning (2001) (11421)
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (2001) (10949)
Least angle regression (2004) (8257)
An Introduction to Statistical Learning (2021) (5998)
Generalized additive models for medical research (1986) (5637)
Repeated observation of breast tumor subtypes in independent gene expression data sets (2003) (5412)
Sparse inverse covariance estimation with the graphical lasso. (2008) (5083)
Estimating the number of clusters in a data set via the gap statistic (2000) (5054)
A working guide to boosted regression trees. (2008) (4572)
A statistical explanation of MaxEnt for ecologists (2011) (4107)
Missing value estimation methods for DNA microarrays (2001) (3484)
Diagnosis of multiple cancer types by shrunken centroids of gene expression (2002) (2911)
Sparse Principal Component Analysis (2006) (2891)
Statistical Models in S (1991) (2439)
PATHWISE COORDINATE OPTIMIZATION (2007) (2020)
Generalized linear and generalized additive models in studies of species distributions: setting the scene (2002) (1958)
Statistical Learning with Sparsity: The Lasso and Generalizations (2015) (1870)
Classification by Pairwise Coupling (1997) (1630)
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. (2011) (1468)
Multi-class AdaBoost ∗ (2009) (1428)
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. (2009) (1388)
Spectral Regularization Algorithms for Learning Large Incomplete Matrices (2010) (1123)
REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. (2016) (1110)
Linear Smoothers and Additive Models (1989) (1053)
On the “degrees of freedom” of the lasso (2007) (1005)
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. (2005) (989)
REJOINDER TO "LEAST ANGLE REGRESSION" BY EFRON ET AL. (2004) (967)
1-norm Support Vector Machines (2003) (965)
Discussion of the Paper \additive Logistic Regression: a Statistical View of Boosting" By (2000) (950)
Principal Curves (2007) (939)
Discriminant Adaptive Nearest Neighbor Classification (1995) (938)
Varying‐Coefficient Models (1993) (926)
Penalized Discriminant Analysis (1995) (910)
Discriminant Analysis by Gaussian Mixtures (1996) (828)
L1‐regularization path algorithm for generalized linear models (2007) (797)
A note on the group lasso and a sparse group lasso (2010) (793)
Prediction by Supervised Principal Components (2006) (745)
Genome-wide association analysis by lasso penalized logistic regression (2009) (728)
The Entire Regularization Path for the Support Vector Machine (2004) (719)
Flexible Discriminant Analysis by Optimal Scoring (1994) (716)
Generalized Additive Models: Some Applications (1987) (654)
Very sparse random projections (2006) (632)
Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers (2006) (628)
'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns (2000) (625)
Kernel Logistic Regression and the Import Vector Machine (2001) (582)
Regularized linear discriminant analysis and its application in microarrays. (2007) (582)
Local Likelihood Estimation (1987) (564)
Bone mineral acquisition in healthy Asian, Hispanic, black, and Caucasian youth: a longitudinal study. (1999) (560)
Strong rules for discarding predictors in lasso‐type problems (2010) (536)
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees (2006) (535)
Sparse Discriminant Analysis (2011) (531)
Low-Molecular-Weight Heparins Compared with Unfractionated Heparin for Treatment of Acute Deep Venous Thrombosis (1999) (523)
Making better biogeographical predictions of species’ distributions (2006) (486)
Surprises in High-Dimensional Ridgeless Least Squares Interpolation (2019) (476)
SparseNet: Coordinate Descent With Nonconvex Penalties (2011) (476)
Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays (2003) (464)
Cell type–specific gene expression differences in complex tissues (2010) (460)
Principal component models for sparse functional data (1999) (459)
Local Regression: Automatic Kernel Carpentry (1993) (440)
Additive Logistic Regression : a Statistical (1998) (426)
The Geometric Interpretation of Correspondence Analysis (1987) (425)
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort (2016) (414)
Classification of gene microarrays by penalized logistic regression. (2004) (400)
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions (2006) (396)
Matrix completion and low-rank SVD via fast alternating least squares (2014) (395)
Penalized logistic regression for detecting gene interactions. (2008) (395)
Addendum: Regularization and variable selection via the elastic net (2005) (384)
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish (2005) (350)
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife (2013) (342)
Gene expression patterns in ovarian carcinomas. (2003) (333)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (2016) (329)
Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets (2010) (320)
Functional linear discriminant analysis for irregularly sampled curves (2001) (310)
[A Statistical View of Some Chemometrics Regression Tools]: Discussion (1993) (308)
Bias correction in species distribution models: pooling survey and collection data for multiple species (2014) (305)
Point process models for presence‐only analysis (2015) (300)
Boosting as a Regularized Path to a Maximum Margin Classifier (2004) (290)
Meta-analysis of Trials Comparing β-Blockers, Calcium Antagonists, and Nitrates for Stable Angina (1999) (277)
Presence‐Only Data and the EM Algorithm (2009) (266)
Genetics of 35 blood and urine biomarkers in the UK Biobank (2019) (262)
Imputing Missing Data for Gene Expression Arrays (2001) (249)
Monographs on statistics and applied probability (1990) (246)
Exploring the nature of covariate effects in the proportional hazards model. (1990) (245)
The Graphical Lasso: New Insights and Alternatives (2011) (235)
Causal Interpretations of Black-Box Models (2021) (232)
Risk factors for progressive cartilage loss in the knee: a longitudinal magnetic resonance imaging study in forty-three patients. (2002) (230)
Discriminative vs Informative Learning (1997) (227)
Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays (2003) (224)
Sample classification from protein mass spectrometry, by 'peak probability contrasts' (2004) (222)
Forward stagewise regression and the monotone lasso (2007) (221)
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso (2011) (216)
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities. (2018) (215)
Low-molecular-weight heparins compared with unfractionated heparin for treatment of acute deep venous thrombosis. A meta-analysis of randomized, controlled trials. (1999) (215)
Supervised harvesting of expression trees (2001) (215)
Overview of Supervised Learning (2001) (213)
Model Assessment and Selection (2009) (213)
Learning Interactions via Hierarchical Group-Lasso Regularization (2015) (198)
Novel methods for the design and evaluation of marine protected areas in offshore waters (2008) (196)
The elements of statistical learning. 2001 (2001) (195)
Finite-Sample Equivalence in Statistical Models for Presence-Only Data. (2012) (195)
Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation (2008) (188)
Inference from presence-only data; the ongoing controversy. (2013) (187)
Boosting and Additive Trees (2009) (181)
Improved Semiparametric Time Series Models of Air Pollution and Mortality (2004) (180)
L 1-regularization path algorithm for generalized linear models (2006) (178)
Outlier sums for differential gene expression analysis. (2007) (178)
Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso (2017) (175)
Quantitative measurements of alternating finger tapping in Parkinson's disease correlate with UPDRS motor disability and reveal the improvement in fine motor control from medication and deep brain stimulation (2005) (174)
Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise (2020) (169)
Transparency and reproducibility in artificial intelligence (2020) (167)
Averaged gene expressions for regression. (2007) (166)
Brain anatomy, gender and IQ in children and adolescents with fragile X syndrome. (2001) (164)
Some methods for heterogeneous treatment effect estimation in high dimensions (2017) (161)
Meta-analysis of trials comparing beta-blockers, calcium antagonists, and nitrates for stable angina. (2000) (161)
Post-transplantation lymphoproliferative disease in heart and heart-lung transplant recipients: 30-year experience at Stanford University. (2003) (146)
Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis (2002) (145)
Additive Logistic Regression : a Statistical View ofBoostingJerome (1998) (145)
Learning the Structure of Mixed Graphical Models (2015) (135)
Bayesian backfitting (with comments and a rejoinder by the authors (2000) (134)
Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling (2009) (134)
Metrics and Models for Handwritten Character Recognition (1998) (124)
Computer Age Statistical Inference by Bradley Efron (2016) (123)
Regularized Discriminant Analysis and Its Application in Microarrays (2004) (123)
Tree-Based Methods (2021) (122)
Discriminant Adaptive Nearest Neighbor Classification and Regression (1995) (121)
Incidence, geographic distribution, and toxigenicity of Fusarium species in South African corn. (1979) (120)
Clinically Relevant Molecular Subtypes in Leiomyosarcoma (2015) (117)
Applications of the lasso and grouped lasso to the estimation of sparse graphical models (2010) (116)
Margin Maximizing Loss Functions (2003) (116)
The Sentimental Factor: Improving Review Classification Via Human-Provided Information (2004) (114)
Lasso and Elastic-Net Regularized Generalized Linear Models [R package glmnet version 4.0-2] (2020) (113)
Linear Methods for Regression (2001) (113)
"Preconditioning" for feature selection and regression in high-dimensional problems (2007) (113)
Microelectrode recording revealing a somatotopic body map in the subthalamic nucleus in humans with Parkinson disease. (2004) (112)
Efficient quadratic regularization for expression arrays. (2004) (112)
Clustering methods for the analysis of DNA microarray data (1999) (111)
Learning and Tracking Cyclic Human Motion (2000) (110)
Principal Curves and Surfaces (1984) (108)
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging (2021) (106)
The II P method for estimating multivariate functions from noisy data (1991) (105)
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons (2020) (102)
The Elements of Statistical Learning Theory (2001) (97)
Margin Trees for High-dimensional Classification (2007) (96)
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES. (2008) (93)
[Flexible Parsimonious Smoothing and Additive Modeling]: Discussion (1989) (92)
Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer (2007) (90)
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS. (2013) (89)
Microarray analysis of the transcriptional response to single or multiple doses of ionizing radiation in human subcutaneous fibroblasts. (2005) (87)
CONFOUNDER ADJUSTMENT IN MULTIPLE HYPOTHESIS TESTING. (2015) (87)
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n (2007) (86)
Exploring Sentiment Summarization (2004) (84)
Radiation-induced gene expression in human subcutaneous fibroblasts is predictive of radiation-induced fibrosis. (2008) (82)
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression (2013) (77)
The Error Coding Method and PICTs (1998) (77)
Sparse inverse covariance estimation with the lasso (2007) (76)
Neural Networks and Related Methods for Classification - Discussion (1994) (75)
Neural mechanisms of rhythm-based temporal prediction : Delta phase-locking reflects temporal predictability but not rhythmic entrainment (2017) (75)
Gene Shaving: a new class of clustering methods for expression arrays (2000) (73)
3-D curve matching using splines (1990) (72)
Representing cyclic human motion using functional analysis (2005) (71)
Non‐Parametric Logistic and Proportional Odds Regression (1987) (71)
Independent Components Analysis through Product Density Estimation (2002) (70)
Generalized Additive Model Selection (2015) (70)
Improving Random Projections Using Marginal Information (2006) (69)
Feature Extraction for Nonparametric Discriminant Analysis (2003) (68)
Decreasing human body temperature in the United States since the Industrial Revolution (2019) (68)
An exploration of sentiment summarization (2003) (68)
CATS regression – a model‐based approach to studying trait‐based community assembly (2015) (67)
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections (2006) (67)
A fused lasso latent feature model for analyzing multi-sample aCGH data. (2011) (67)
Wearable sensors enable personalized predictions of clinical laboratory measurements (2021) (67)
Degrees‐of‐freedom tests for smoothing splines (2002) (66)
Gene Expression Programs of Human Smooth Muscle Cells: Tissue-Specific Differentiation and Prognostic Significance in Breast Cancers (2007) (66)
Bayesian Backfitting (1998) (64)
Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature (2008) (64)
Reduced-rank vector generalized linear models (2003) (63)
Learning Prototype Models for Tangent Distance (1994) (63)
Additive Models, Trees, and Related Methods (2009) (61)
Evaluating quantitative proton‐density‐mapping methods (2016) (59)
ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system (2016) (59)
Cross-validation: what does it estimate and how well does it do it? (2021) (56)
Automatic Smoothing Spline Projection Pursuit (1994) (56)
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank (2019) (55)
Flexible discriminant and mixture models (2000) (54)
Regression with an ordered categorical response. (1989) (52)
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data (2006) (51)
One sketch for all: Theory and Application of Conditional Random Sampling (2008) (51)
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning (2004) (50)
Patient-Derived Health State Utilities for Gastroesophageal Reflux Disease (2005) (50)
Modeling and predicting osteoarthritis progression: data from the osteoarthritis initiative. (2018) (50)
Ischemia in three left ventricular regions: Insights into the pathogenesis of acute ischemic mitral regurgitation. (2003) (49)
[Generalized Additive Models]: Rejoinder (1986) (48)
Clustering microarray data (2003) (48)
Generalized Additive Model (2005) (48)
Closed mitral valvotomy: actuarial analysis of results in 654 patients over 12 years and analysis of preoperative predictors of long-term survival. (1982) (47)
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology (2018) (46)
The Elements of Statistical Inference (2001) (44)
A Closer Look at the Deviance (1987) (44)
Regression analysis of multiple protein structures (1998) (44)
Linear Methods for Classification (2001) (43)
Support Vector Machines and Flexible Discriminants (2009) (43)
Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants (2016) (43)
Quantitative determination of age-related geometric changes in the normal abdominal aorta. (2001) (41)
Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting (2007) (40)
Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury (2019) (39)
Linear Model Selection and Regularization (2021) (38)
Ridge Regularization: An Essential Concept in Data Science (2020) (37)
Generalizations of the Bias/Variance Decomposition for Prediction Error (1997) (37)
New cutpoints to identify increased HER2 copy number: analysis of a large, population-based cohort with long-term follow-up (2008) (37)
Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data. (2018) (36)
Support Vector Machines (2021) (36)
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions (2020) (36)
Coronary risk assessment among intermediate risk patients using a clinical and biomarker based algorithm developed and validated in two population cohorts (2012) (36)
Structure Learning of Mixed Graphical Models (2013) (35)
A clinico-genomic analysis of soft tissue sarcoma patients reveals CDKN2A deletion as a biomarker for poor prognosis (2019) (35)
Does cancer risk affect health-related quality of life in patients with Barrett's esophagus? (2007) (35)
Combinatorial extracellular matrix microenvironments promote survival and phenotype of human induced pluripotent stem cell-derived endothelial cells in hypoxia. (2016) (35)
Regularization Path Algorithms for Detecting Gene Interactions (2006) (34)
Predicting multivariate responses in multiple linear regression - Discussion (1997) (34)
Classi cation by Pairwise Coupling (1998) (34)
Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach (2014) (34)
Discussion of Boosting Papers (2003) (33)
Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification. (2008) (33)
Learning interactions through hierarchical group-lasso regularization (2013) (32)
Prognostic significance of early aortic remodeling in acute uncomplicated type B aortic dissection and intramural hematoma (2017) (31)
The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression (2020) (31)
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility (2015) (30)
High-Dimensional Problems: p N (2009) (29)
Kernel Smoothing Methods (2009) (28)
Mitral annular size predicts Alfieri stitch tension in mitral edge-to-edge repair. (2004) (28)
Learning and Tracking Human Motion Using Functional Analysis (2000) (28)
Shrinking Trees (1990) (27)
Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors (2018) (26)
Handwritten Digit Recognition via Deformable Prototypes (1994) (25)
Generalized Linear Models (2017) (24)
FIRE: functional inference of genetic variants that regulate gene expression (2017) (23)
Boosted Varying-Coefficient Regression Models for Product Demand Prediction (2014) (23)
Learning Mixed Graphical Models (2012) (23)
�-norm Support Vector Machines (2003) (22)
An analysis of gestational age, neonatal size and neonatal death using nonparametric logistic regression. (1990) (22)
An Efficient Algorithm for Large Scale Compressive Feature Learning (2014) (22)
Effective degrees of freedom: a flawed metaphor. (2013) (22)
Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissection. (2019) (22)
Constrained ordination analysis with flexible response functions (2005) (21)
Prediction of risk for patients with unstable angina. (2000) (21)
Compressive Feature Learning (2013) (20)
The importance of transparency and reproducibility in artificial intelligence research (2020) (20)
Basis Expansions and Regularization (2001) (20)
ISSUES IN SEMI-PARAMETRIC REGRESSION WITH APPLICATIONS IN TIME SERIES MODELS FOR AIR POLLUTION AND MORTALITY (2003) (20)
Telugu OCR Framework using Deep Learning (2015) (19)
A Fast and Flexible Algorithm for Solving the Lasso in Large-scale and Ultrahigh-dimensional Problems (2019) (19)
Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset (2017) (18)
Statistical Models for Presence-Only Data: Finite-Sample Equivalence and Addressing Observer Bias (2012) (17)
Combinatorial Extracellular Matrix Microenvironments for Probing Endothelial Differentiation of Human Pluripotent Stem Cells (2017) (16)
Model Inference and Averaging (2009) (16)
Prototype Methods and Nearest-Neighbors (2009) (16)
Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study (2020) (16)
Graphical Methods for Assessing Logistic Regression Models: Comment (1984) (16)
False Variable Selection Rates in Regression (2013) (16)
Optimal Kernel Shapes for Local Linear Regression (1999) (16)
[Local Regression: Automatic Kernel Carpentry]: Rejoinder (1993) (15)
Fast Lasso method for Large-scale and Ultrahigh-dimensional Cox Model with applications to UK Biobank (2020) (15)
Support Vector Machines, Kernel Logistic Regression and Boosting (2002) (15)
CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE. (2015) (15)
Comment on "Support Vector Machines with Applications" (2006) (15)
[The ∏ Method for Estimating Multivariate Functions from Noisy Data]: Discussion (1991) (14)
A Unified Near-Optimal Estimator For Dimension Reduction in l_α(0 (2007) (14)
Computer Age Statistical Inference, Student Edition (2021) (14)
Physical activity is associated with changes in knee cartilage microstructure. (2018) (14)
Polygenic risk modeling with latent trait-related genetic components (2019) (14)
Significant sparse polygenic risk scores across 813 traits in UK Biobank (2022) (14)
An Inflammatory Clock Predicts Multi-morbidity, Immunosenescence and Cardiovascular Aging in Humans (2019) (13)
Sparse EEG/MEG source estimation via a group lasso (2017) (13)
Rejoinder: Linear Smoothers and Additive Models (1989) (12)
Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records (2015) (12)
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank. (2020) (12)
Note on Comparison of Model Selection for Regression by Vladimir Cherkassky and Yunqian Ma (2003) (12)
Nonparametric Regression and Classification Part I—Nonparametric Regression (1994) (12)
Gene expression profiling of low-grade endometrial stromal sarcoma indicates fusion protein-mediated activation of the Wnt signaling pathway. (2018) (12)
Dynamic visualization of statistical learning in the context of high-dimensional textual data (2010) (12)
Saturating Splines and Feature Selection (2016) (12)
The Jackknife and the Bootstrap (2016) (11)
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions (2021) (11)
Targeted use of growth mixture modeling: a learning perspective (2017) (11)
No increased mortality with early aortic aneurysm disease. (2011) (11)
An evaluation of beta-blockers, calcium antagonists, nitrates, and alternative therapies for stable angina. (1999) (10)
Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study (2020) (10)
Expression Arrays and the p n Problem (2003) (10)
Selection of effects in Cox frailty models by regularization methods (2017) (10)
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball (2017) (10)
Modeling and superposition of multiple protein structures using affine transformations: analysis of the globins. (1998) (9)
Detection of Circulating Tumor DNA in Patients With Uterine Leiomyomas (2019) (9)
Longitudinal data analysis using matrix completion (2018) (9)
Sparse Quadratic Discriminant Analysis and Community Bayes (2014) (9)
Discussion: Projection Pursuit (1985) (9)
Synergistic drug combinations from electronic health records and gene expression (2016) (8)
Statistical Measures for the Computer-Aided Diagnosis of Mammographic Masses (1999) (8)
Statistical Learning (2021) (8)
Regularization methods for learning incomplete matrices (2009) (8)
Margin-constrained random projections and very sparse random projections (2006) (8)
A Sketch-based Sampling Algorithm on Sparse Data (2006) (8)
Discussions of boosting papers, and rejoinders (2004) (7)
Elastic Net Regularization Paths for All Generalized Linear Models (2021) (7)
Regularization paths and coordinate descent (2008) (7)
Association of cardiovascular events and lipoprotein particle size: Development of a risk score based on functional data analysis (2019) (7)
Discussion: Multivariate Adaptive Regression Splines (1991) (7)
Construction of longitudinal prediction targets using semisupervised learning (2018) (7)
[Monotone Regression Splines in Action]: Comment (1988) (7)
Principal curve approaches for inferring 3D chromatin architecture (2020) (7)
Finite-Sample Equivalence of Several Statistical Models for Presence-Only Data (2012) (7)
Support-Vector Machines and Kernel Methods (2016) (7)
Feature-weighted elastic net: using "features of features" for better prediction (2020) (7)
Backfitting for large scale crossed random effects regressions (2020) (7)
Generalized Additive Models, Cubic Splines and Penalized Likelihood. (1987) (6)
Model Building and Feature Selection with Genomic Data (2007) (6)
Error coding and PaCT's (1997) (6)
Usefulness of generalized additive models (1996) (6)
Hierarchical Classification using Shrunken Centroids (2005) (6)
Standard Errors for Bagged Predictors and Random Forests (2013) (6)
Effect of long-term antibiotic use on weight in adolescents with acne. (2016) (6)
Healthcare worker absenteeism, child care costs, and COVID-19 school closures: a simulation analysis (2020) (5)
Rejoinder: Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons (2020) (5)
Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank (2020) (5)
Multiclass-penalized logistic regression (2021) (5)
Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks (2021) (5)
Nonparametric Regression and Classification Part II—Nonparametric Classification (1994) (5)
Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008 (2008) (5)
LinCDE: Conditional Density Estimation via Lindsey's Method (2021) (4)
Using aggregate patient data at the bedside via an on-demand consultation service (2021) (4)
Temporal dynamics of the multi-omic response to endurance exercise training across tissues (2022) (4)
Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis (2021) (4)
Canonical correlation analysis in high dimensions with structured regularization (2020) (4)
Principal component analysis (2022) (4)
Gamma-ray Bursts as distance indicators through a machine learning approach (2019) (4)
Moving Beyond Linearity (2021) (3)
Weighted Low Rank Matrix Approximation and Acceleration (2021) (3)
TITLE : A statistical explanation of MaxEnt for ecologists (2010) (3)
Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron (2020) (3)
Discussion: The Use of Polynomial Splines and their Tensor Products in Multivariate Function Estimation (1994) (3)
Survival analysis on rare events using group-regularized multi-response Cox regression (2020) (3)
Stable random projections and conditional random sampling, two sampling techniques for modern massive datasets (2007) (3)
Undirected Graphical Models (2009) (3)
Posttransplantation lymphoproliferative disease in heart and heart-lung transplant recipients: thirty years experience at our hospital. (2001) (3)
A Proportional Observer Bias Model for Multispecies Distribution Modeling (2014) (3)
Large-Scale Hypothesis Testing and FDRs (2021) (3)
Supervised Learning from Microarray Data (2002) (3)
Data Representation and Compression Using Linear-Programming Approximations (2015) (2)
Extracting cell-type-specific gene expression differences from complex tissues (144.30) (2010) (2)
A New Algorithm for Matched Case-Control Studies with Applications to Additive Models (1988) (2)
Discussion of “ Boosting Algorithms : Regularization , Prediction and Model Fitting ” by Peter Bühlmann and (2007) (2)
Generalized Matrix Factorization (2020) (2)
Application of microarray analyses to identify genes involved in radiation-induced fibrosis (2005) (2)
Assessment of heterogeneous treatment effect estimation accuracy via matching (2020) (2)
Random Forests and Boosting (2021) (2)
A tissue atlas of ulcerative colitis revealing evidence of sex-dependent differences in disease-driving inflammatory cell types and resistance to TNF inhibitor therapy (2023) (2)
Scalable logistic regression with crossed random effects (2021) (2)
Estimating Heterogeneous Treatment Effects for General Responses (2021) (2)
Author Correction: Genetics of 35 blood and urine biomarkers in the UK Biobank (2021) (2)
A ug 2 01 2 The Graphical Lasso : New Insights and Alternatives (2012) (2)
Statistical Curve Models For Inferring 3D Chromatin Architecture (2022) (2)
Practical Procedures for Dimension Reduction in l 1 (1)
A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections (2007) (1)
Boosting Algorithms: Regularization, Prediction and Model Fitting. Comment. (2007) (1)
Regularization in Cox Frailty Models (2016) (1)
Algorithms and Inference (2016) (1)
TITLE: A working guide to boosted regression trees (2008) (1)
The Lasso for Linear Models (2015) (1)
LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK. (2022) (1)
Matrix Decompositions, Approximations, and Completion (2015) (1)
Comment on “Causal inference using invariant prediction” (2016) (1)
RbX: Region-based explanations of prediction models (2022) (1)
Gene expression pro fi ling of low-grade endometrial stromal sarcoma indicates fusion protein-mediated activation of the Wnt signaling pathway (2018) (1)
Generalized additive models in Genstat: flexible nonparametric modelling extensions (1992) (1)
Unsupervised Learning (2021) (1)
Automated survival prediction in metastatic cancer patients using high-dimensional electronic medical record data. (2018) (1)
An RT-PCR-based multi-gene prognostic signature predicts distant metastasis of node negative, ER positive breast cancer from FFPE sections. (2006) (1)
Discussion of \Evidence contrary to the statistical view of boosting" (2007) (1)
GAM selection via convex optimization (2015) (0)
Parametric Models and Exponential Families (2016) (0)
SICKLE CELL DISEASE (1996) (0)
2014 Ziegel Award Announcement (2016) (0)
DINA: Estimating Heterogenous Treatment Effects in Exponential Family and Cox Model (2021) (0)
Resampling Methods (2021) (0)
[Survey of antibiotic resistance in gram-negative bacteria using the cross product ratio]. (1979) (0)
Frequentist Inference (2021) (0)
Perioperative analgesic administration during the 2018 parenteral opioid shortage in the United States - A retrospective analysis. (2020) (0)
Inference After Model Selection (2016) (0)
Organisers Organising Committee General Information Maps Keynote & Invited Speakers Plenary Session [oggb4] Chair: Alain Vandal Genome Variant Calling: a Statistical Perspective Robert Gentleman Genentech Invited Session Contributed Sessions Methods 1 [oggb4] Chair: Thomas Yee Prediction and Confide (2011) (0)
3-D Curve Matching Using (0)
A Melting Pot (2021) (0)
Providing for the Analysis of Generalized Additive Models within a System already Capable of Generalized Linear and Nonlinear Regression (1992) (0)
Feature Extraction for Nonparametric (2016) (0)
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta (2007) (0)
Survival Analysis and the EM Algorithm (2021) (0)
Fast Algorithms for Learning with Long N-grams via Suffix Tree Based Matrix Multiplication (2015) (0)
THE LASSO AND RELATED METHODS 2 1 The lasso and related methods (2007) (0)
Abstract P019: Identifying Laboratory Markers of Incident Myocardial Infarction through Electronic Health Records (2014) (0)
Fused Lasso Latent Feature Model (2015) (0)
Neural Networks and Deep Learning (2016) (0)
Review ID: 9116 (2001) (0)
Dynamic Mixtures of Splines : a Model forSaliency Grouping in the Time FrequencyPlaneSt (1997) (0)
A Tutorial on Using the R Package FLLat (2017) (0)
Twenty-First-Century Topics (2016) (0)
Survival Analysis and Censored Data (2021) (0)
Objective Bayes Inference and MCMC (2021) (0)
Some theory for additive models (2017) (0)
Smoothing in detail (2017) (0)
Author Correction: An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging (2021) (0)
Use of a modified Michaelis-Menten equation to estimate growth from birth to 3 years in healthy full term babies (2023) (0)
The Error Coding and Substitution PaCTs (1997) (0)
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? (2012) (0)
NEWOPPORTUNITIESAT THE INTERFACEBETWEENECOLOGYANDSTATISTICS Point processmodels for presence-only analysis (2015) (0)
Deep Learning (2021) (0)
Sparse Modeling and the Lasso (2016) (0)
Efficient Regularization Paths for Generalized Thresholding Operators (0)
Linear Regression (2021) (0)
Smooth multi-period forecasting with application to prediction of COVID-19 cases (preprint) (2022) (0)
Effects of tumor stroma interaction on global gene expression in breast cancer. (2006) (0)
Estimation and prediction in sparse and unbalanced tables (2017) (0)
Confidence Intervals for the Generalisation Error of Random Forests (2022) (0)
The Commonwealth of Nations (2021) (0)
Multivariate pattern analysis of physical activity and cartilage health: data from the osteoarthritis initiative (2017) (0)
Statistical Models for Image (2011) (0)
2 Regularization Methods for Grouped Variable Selection (0)
Integration of Mechanistic Immunological Knowledge into a Machine Learning Pipeline Increases Predictive Power (2020) (0)
ischemic mitral regurgitation Ischemia in three left ventricular regions: Insights into the pathogenesis of acute (2013) (0)
Extensions to other settings (2017) (0)
James–Stein Estimation and Ridge Regression (2021) (0)
Signal Approximation and Compressed Sensing (2015) (0)
Classification (1993) (0)
Generalized Linear Models and Regression Trees (2021) (0)
Evaluation of Beta-Blockers, Calcium Antagonists, Nitrates, and Alternative Therapies for Stable Angina: Summary (1999) (0)
Research and Applications Synergistic drug combinations from electronic health records and gene expression (2017) (0)
Boosting and Support Vector Machines as Optimal Separators (2003) (0)
Prediction of Secondary School Students’ Alcohol Addiction using Random Forest (2017) (0)
Postwar Statistical Inference and Methodology (2021) (0)
Empirical Bayes Estimation Strategies (2021) (0)
Automatic Bias Correction Methods in Semi-supervised Learning (2019) (0)
Response transformation models (2017) (0)
M E ] 2 7 A ug 2 00 7 Sparse inverse covariance estimation with the lasso Jerome Friedman (2008) (0)
Submitted to the Annals of Applied Statistics FALSE VARIABLE SELECTION RATES IN REGRESSION By (2013) (0)
Graphs and Model Selection (2015) (0)
Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction (2022) (0)
Fused Lasso Latent Feature Model [R package FLLat version 1.2-1] (2017) (0)
Fisherian Inference and Maximum Likelihood Estimation (2016) (0)
Comparing spatial patterns of marine vessels between vessel-tracking data and satellite imagery (2023) (0)
Discussion (2009) (0)
Fast Sparse-Group Lasso Method for Multi-response Cox Model with Applications to UK Biobank (2020) (0)
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach (2020) (0)
Diagnosis of multiple cancer centroids of gene expression (2016) (0)
Introduction (2021) (0)
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays. (2020) (0)
P17. Effects of tumor–stroma interaction on global gene expression in breast cancer (2006) (0)
Sparse Multivariate Methods (2015) (0)
PathGPS: Discover shared genetic architecture using biobank data (2022) (0)
Multiple Testing (2021) (0)
Publisher Correction: Principal component analysis (2023) (0)
Sparse Discriminant Analysis Line Clemmensen (2010) (0)
Modeling longitudinal data using matrix completion (2018) (0)

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