Trevor Hastie | Academic Influence

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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 Papers

Regularization and variable selection via the elastic net (2005) (14971)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition (2005) (13874)
Regularization Paths for Generalized Linear Models via Coordinate Descent. (2010) (12398)
The Elements of Statistical Learning (2001) (11487)
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (2001) (10824)
Least angle regression (2004) (8154)
An Introduction to Statistical Learning (2021) (5690)
Generalized additive models for medical research (1986) (5623)
Repeated observation of breast tumor subtypes in independent gene expression data sets (2003) (5362)
Sparse inverse covariance estimation with the graphical lasso. (2008) (4915)
Estimating the number of clusters in a data set via the gap statistic (2000) (4885)
A working guide to boosted regression trees. (2008) (4397)
A statistical explanation of MaxEnt for ecologists (2011) (3895)
Missing value estimation methods for DNA microarrays (2001) (3405)
Diagnosis of multiple cancer types by shrunken centroids of gene expression (2002) (2874)
Sparse Principal Component Analysis (2006) (2804)
Statistical Models in S (1991) (2417)
PATHWISE COORDINATE OPTIMIZATION (2007) (1987)
Generalized linear and generalized additive models in studies of species distributions: setting the scene (2002) (1917)
Statistical Learning with Sparsity: The Lasso and Generalizations (2015) (1796)
Classification by Pairwise Coupling (1997) (1612)
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. (2011) (1352)
Multi-class AdaBoost ∗ (2009) (1350)
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. (2009) (1347)
Spectral Regularization Algorithms for Learning Large Incomplete Matrices (2010) (1075)
Linear Smoothers and Additive Models (1989) (1028)
REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. (2016) (1016)
On the “degrees of freedom” of the lasso (2007) (987)
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. (2005) (987)
REJOINDER TO "LEAST ANGLE REGRESSION" BY EFRON ET AL. (2004) (986)
Discussion of the Paper \additive Logistic Regression: a Statistical View of Boosting" By (2000) (980)
1-norm Support Vector Machines (2003) (951)
Discriminant Adaptive Nearest Neighbor Classification (1995) (932)
Principal Curves (2007) (918)
Varying‐Coefficient Models (1993) (917)
Penalized Discriminant Analysis (1995) (892)
Discriminant Analysis by Gaussian Mixtures (1996) (820)
L1‐regularization path algorithm for generalized linear models (2007) (783)
A note on the group lasso and a sparse group lasso (2010) (772)
Prediction by Supervised Principal Components (2006) (730)
Genome-wide association analysis by lasso penalized logistic regression (2009) (715)
The Entire Regularization Path for the Support Vector Machine (2004) (705)
Flexible Discriminant Analysis by Optimal Scoring (1994) (690)
'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns (2000) (622)
Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers (2006) (622)
Very sparse random projections (2006) (619)
Generalized Additive Models: Some Applications (1987) (608)
Kernel Logistic Regression and the Import Vector Machine (2001) (574)
Regularized linear discriminant analysis and its application in microarrays. (2007) (566)
Local Likelihood Estimation (1987) (558)
Bone mineral acquisition in healthy Asian, Hispanic, black, and Caucasian youth: a longitudinal study. (1999) (554)
Low-Molecular-Weight Heparins Compared with Unfractionated Heparin for Treatment of Acute Deep Venous Thrombosis (1999) (525)
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees (2006) (523)
Strong rules for discarding predictors in lasso‐type problems (2010) (516)
Sparse Discriminant Analysis (2011) (514)
Making better biogeographical predictions of species’ distributions (2006) (481)
SparseNet: Coordinate Descent With Nonconvex Penalties (2011) (461)
Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays (2003) (457)
Cell type–specific gene expression differences in complex tissues (2010) (454)
Principal component models for sparse functional data (1999) (444)
Local Regression: Automatic Kernel Carpentry (1993) (437)
Additive Logistic Regression : a Statistical (1998) (433)
Surprises in High-Dimensional Ridgeless Least Squares Interpolation (2019) (428)
The Geometric Interpretation of Correspondence Analysis (1987) (423)
Classification of gene microarrays by penalized logistic regression. (2004) (397)
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort (2016) (394)
Penalized logistic regression for detecting gene interactions. (2008) (392)
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions (2006) (390)
Matrix completion and low-rank SVD via fast alternating least squares (2014) (377)
Addendum: Regularization and variable selection via the elastic net (2005) (377)
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish (2005) (347)
Gene expression patterns in ovarian carcinomas. (2003) (332)
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife (2013) (327)
Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets (2010) (314)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (2016) (307)
Functional linear discriminant analysis for irregularly sampled curves (2001) (306)
[A Statistical View of Some Chemometrics Regression Tools]: Discussion (1993) (298)
Bias correction in species distribution models: pooling survey and collection data for multiple species (2014) (288)
Boosting as a Regularized Path to a Maximum Margin Classifier (2004) (287)
Point process models for presence‐only analysis (2015) (283)
Meta-analysis of Trials Comparing β-Blockers, Calcium Antagonists, and Nitrates for Stable Angina (1999) (274)
Presence‐Only Data and the EM Algorithm (2009) (263)
Imputing Missing Data for Gene Expression Arrays (2001) (245)
Exploring the nature of covariate effects in the proportional hazards model. (1990) (243)
Monographs on statistics and applied probability (1990) (238)
The Graphical Lasso: New Insights and Alternatives (2011) (228)
Risk factors for progressive cartilage loss in the knee: a longitudinal magnetic resonance imaging study in forty-three patients. (2002) (224)
Discriminative vs Informative Learning (1997) (224)
Sample classification from protein mass spectrometry, by 'peak probability contrasts' (2004) (222)
Forward stagewise regression and the monotone lasso (2007) (219)
Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays (2003) (215)
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso (2011) (213)
Supervised harvesting of expression trees (2001) (212)
Low-molecular-weight heparins compared with unfractionated heparin for treatment of acute deep venous thrombosis. A meta-analysis of randomized, controlled trials. (1999) (208)
Causal Interpretations of Black-Box Models (2021) (207)
Model Assessment and Selection (2009) (204)
Novel methods for the design and evaluation of marine protected areas in offshore waters (2008) (196)
Overview of Supervised Learning (2001) (195)
The elements of statistical learning. 2001 (2001) (189)
Learning Interactions via Hierarchical Group-Lasso Regularization (2015) (188)
Finite-Sample Equivalence in Statistical Models for Presence-Only Data. (2012) (185)
Inference from presence-only data; the ongoing controversy. (2013) (183)
Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation (2008) (182)
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities. (2018) (182)
Improved Semiparametric Time Series Models of Air Pollution and Mortality (2004) (180)
Outlier sums for differential gene expression analysis. (2007) (177)
L 1-regularization path algorithm for generalized linear models (2006) (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) (173)
Boosting and Additive Trees (2009) (169)
Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso (2017) (169)
Brain anatomy, gender and IQ in children and adolescents with fragile X syndrome. (2001) (164)
Averaged gene expressions for regression. (2007) (163)
Genetics of 35 blood and urine biomarkers in the UK Biobank (2020) (162)
Meta-analysis of trials comparing beta-blockers, calcium antagonists, and nitrates for stable angina. (2000) (157)
Additive Logistic Regression : a Statistical View ofBoostingJerome (1998) (148)
Transparency and reproducibility in artificial intelligence. (2020) (145)
Post-transplantation lymphoproliferative disease in heart and heart-lung transplant recipients: 30-year experience at Stanford University. (2003) (145)
Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis (2002) (144)
Some methods for heterogeneous treatment effect estimation in high dimensions (2017) (143)
Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise (2020) (130)
Learning the Structure of Mixed Graphical Models (2015) (130)
Bayesian backfitting (with comments and a rejoinder by the authors (2000) (129)
Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling (2009) (124)
Computer Age Statistical Inference by Bradley Efron (2016) (123)
Metrics and Models for Handwritten Character Recognition (1998) (122)
Regularized Discriminant Analysis and Its Application in Microarrays (2004) (121)
Incidence, geographic distribution, and toxigenicity of Fusarium species in South African corn. (1979) (120)
Discriminant Adaptive Nearest Neighbor Classification and Regression (1995) (117)
Tree-Based Methods (2021) (116)
Applications of the lasso and grouped lasso to the estimation of sparse graphical models (2010) (115)
The Sentimental Factor: Improving Review Classification Via Human-Provided Information (2004) (114)
"Preconditioning" for feature selection and regression in high-dimensional problems (2007) (113)
Margin Maximizing Loss Functions (2003) (112)
Microelectrode recording revealing a somatotopic body map in the subthalamic nucleus in humans with Parkinson disease. (2004) (111)
Efficient quadratic regularization for expression arrays. (2004) (111)
Learning and Tracking Cyclic Human Motion (2000) (110)
Clustering methods for the analysis of DNA microarray data (1999) (109)
Principal Curves and Surfaces (1984) (108)
Linear Methods for Regression (2001) (108)
Clinically Relevant Molecular Subtypes in Leiomyosarcoma (2015) (107)
The II P method for estimating multivariate functions from noisy data (1991) (105)
Lasso and Elastic-Net Regularized Generalized Linear Models [R package glmnet version 4.0-2] (2020) (99)
The Elements of Statistical Learning Theory (2001) (97)
Margin Trees for High-dimensional Classification (2007) (96)
[Flexible Parsimonious Smoothing and Additive Modeling]: Discussion (1989) (92)
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES. (2008) (91)
Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer (2007) (88)
Microarray analysis of the transcriptional response to single or multiple doses of ionizing radiation in human subcutaneous fibroblasts. (2005) (87)
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n (2007) (86)
Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons (2020) (85)
Exploring Sentiment Summarization (2004) (84)
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS. (2013) (83)
Radiation-induced gene expression in human subcutaneous fibroblasts is predictive of radiation-induced fibrosis. (2008) (81)
CONFOUNDER ADJUSTMENT IN MULTIPLE HYPOTHESIS TESTING. (2015) (80)
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. (2021) (80)
Sparse inverse covariance estimation with the lasso (2007) (76)
A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression (2013) (75)
The Error Coding Method and PICTs (1998) (74)
Neural Networks and Related Methods for Classification - Discussion (1994) (74)
Gene Shaving: a new class of clustering methods for expression arrays (2000) (73)
3-D curve matching using splines (1990) (72)
Independent Components Analysis through Product Density Estimation (2002) (70)
Non‐Parametric Logistic and Proportional Odds Regression (1987) (69)
An exploration of sentiment summarization (2003) (68)
Representing cyclic human motion using functional analysis (2005) (68)
CATS regression – a model‐based approach to studying trait‐based community assembly (2015) (68)
Neural mechanisms of rhythm-based temporal prediction : Delta phase-locking reflects temporal predictability but not rhythmic entrainment (2017) (68)
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections (2006) (67)
Feature Extraction for Nonparametric Discriminant Analysis (2003) (67)
A fused lasso latent feature model for analyzing multi-sample aCGH data. (2011) (67)
Improving Random Projections Using Marginal Information (2006) (67)
Generalized Additive Model Selection (2015) (66)
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)
Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature (2008) (64)
Learning Prototype Models for Tangent Distance (1994) (63)
Reduced-rank vector generalized linear models (2003) (63)
Decreasing human body temperature in the United States since the Industrial Revolution (2019) (62)
Bayesian Backfitting (1998) (61)
Additive Models, Trees, and Related Methods (2009) (58)
Genetics of 38 blood and urine biomarkers in the UK Biobank (2019) (56)
Automatic Smoothing Spline Projection Pursuit (1994) (56)
Evaluating quantitative proton‐density‐mapping methods (2016) (55)
Wearable sensors enable personalized predictions of clinical laboratory measurements. (2021) (55)
Flexible discriminant and mixture models (2000) (54)
ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system (2016) (54)
Regression with an ordered categorical response. (1989) (52)
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank (2019) (51)
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data (2006) (50)
One sketch for all: Theory and Application of Conditional Random Sampling (2008) (50)
Patient-Derived Health State Utilities for Gastroesophageal Reflux Disease (2005) (50)
Ischemia in three left ventricular regions: Insights into the pathogenesis of acute ischemic mitral regurgitation. (2003) (49)
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning (2004) (48)
Clustering microarray data (2003) (48)
Generalized Additive Model (2005) (48)
[Generalized Additive Models]: Rejoinder (1986) (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)
The Elements of Statistical Inference (2001) (45)
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology (2018) (45)
Modeling and predicting osteoarthritis progression: data from the osteoarthritis initiative. (2018) (44)
Regression analysis of multiple protein structures (1998) (44)
A Closer Look at the Deviance (1987) (43)
Cross-validation: what does it estimate and how well does it do it? (2021) (43)
Support Vector Machines and Flexible Discriminants (2009) (42)
Quantitative determination of age-related geometric changes in the normal abdominal aorta. (2001) (41)
Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants (2016) (41)
Linear Methods for Classification (2001) (38)
Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury (2019) (38)
Support Vector Machines (2021) (38)
New cutpoints to identify increased HER2 copy number: analysis of a large, population-based cohort with long-term follow-up (2008) (37)
Comment: Boosting Algorithms: Regularization, Prediction and Model Fitting (2007) (37)
Coronary risk assessment among intermediate risk patients using a clinical and biomarker based algorithm developed and validated in two population cohorts (2012) (36)
Generalizations of the Bias/Variance Decomposition for Prediction Error (1997) (35)
Discussion of Boosting Papers (2003) (35)
Structure Learning of Mixed Graphical Models (2013) (35)
Classi cation by Pairwise Coupling (1998) (34)
Combinatorial extracellular matrix microenvironments promote survival and phenotype of human induced pluripotent stem cell-derived endothelial cells in hypoxia. (2016) (34)
Linear Model Selection and Regularization (2021) (34)
Regularization Path Algorithms for Detecting Gene Interactions (2006) (34)
Predicting multivariate responses in multiple linear regression - Discussion (1997) (34)
Does cancer risk affect health-related quality of life in patients with Barrett's esophagus? (2007) (33)
Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification. (2008) (33)
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions (2020) (33)
Assessing the significance of global and local correlations under spatial autocorrelation: A nonparametric approach (2014) (31)
Learning interactions through hierarchical group-lasso regularization (2013) (31)
A clinico-genomic analysis of soft tissue sarcoma patients reveals CDKN2A deletion as a biomarker for poor prognosis (2019) (31)
Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data. (2018) (30)
Ridge Regularization: An Essential Concept in Data Science (2020) (30)
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility (2015) (29)
Learning and Tracking Human Motion Using Functional Analysis (2000) (28)
Shrinking Trees (1990) (27)
Prognostic significance of early aortic remodeling in acute uncomplicated type B aortic dissection and intramural hematoma (2017) (27)
High-Dimensional Problems: p N (2009) (27)
Mitral annular size predicts Alfieri stitch tension in mitral edge-to-edge repair. (2004) (27)
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) (26)
Kernel Smoothing Methods (2009) (26)
Handwritten Digit Recognition via Deformable Prototypes (1994) (25)
Generalized Linear Models (2017) (24)
An Efficient Algorithm for Large Scale Compressive Feature Learning (2014) (23)
Learning Mixed Graphical Models (2012) (23)
�-norm Support Vector Machines (2003) (23)
Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors (2018) (23)
Effective degrees of freedom: a flawed metaphor. (2013) (22)
Boosted Varying-Coefficient Regression Models for Product Demand Prediction (2014) (21)
FIRE: functional inference of genetic variants that regulate gene expression (2017) (21)
Constrained ordination analysis with flexible response functions (2005) (21)
Prediction of risk for patients with unstable angina. (2000) (21)
An analysis of gestational age, neonatal size and neonatal death using nonparametric logistic regression. (1990) (21)
A Fast and Flexible Algorithm for Solving the Lasso in Large-scale and Ultrahigh-dimensional Problems (2019) (20)
ISSUES IN SEMI-PARAMETRIC REGRESSION WITH APPLICATIONS IN TIME SERIES MODELS FOR AIR POLLUTION AND MORTALITY (2003) (20)
The importance of transparency and reproducibility in artificial intelligence research (2020) (20)
Telugu OCR Framework using Deep Learning (2015) (19)
Compressive Feature Learning (2013) (19)
Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissection. (2019) (19)
Basis Expansions and Regularization (2001) (18)
Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset (2017) (17)
Graphical Methods for Assessing Logistic Regression Models: Comment (1984) (16)
Optimal Kernel Shapes for Local Linear Regression (1999) (16)
False Variable Selection Rates in Regression (2013) (16)
Model Inference and Averaging (2009) (16)
Prototype Methods and Nearest-Neighbors (2009) (16)
Statistical Models for Presence-Only Data: Finite-Sample Equivalence and Addressing Observer Bias (2012) (16)
Comment on "Support Vector Machines with Applications" (2006) (15)
CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE. (2015) (15)
Physical activity is associated with changes in knee cartilage microstructure. (2018) (14)
Combinatorial Extracellular Matrix Microenvironments for Probing Endothelial Differentiation of Human Pluripotent Stem Cells (2017) (14)
Support Vector Machines, Kernel Logistic Regression and Boosting (2002) (14)
[Local Regression: Automatic Kernel Carpentry]: Rejoinder (1993) (14)
Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study (2020) (14)
Fast Lasso method for Large-scale and Ultrahigh-dimensional Cox Model with applications to UK Biobank (2020) (14)
A Unified Near-Optimal Estimator For Dimension Reduction in l_α(0 (2007) (14)
[The ∏ Method for Estimating Multivariate Functions from Noisy Data]: Discussion (1991) (14)
Note on Comparison of Model Selection for Regression by Vladimir Cherkassky and Yunqian Ma (2003) (12)
Sparse EEG/MEG source estimation via a group lasso (2017) (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)
Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records (2015) (12)
Nonparametric Regression and Classification Part I—Nonparametric Regression (1994) (12)
Rejoinder: Linear Smoothers and Additive Models (1989) (12)
An Inflammatory Clock Predicts Multi-morbidity, Immunosenescence and Cardiovascular Aging in Humans (2019) (12)
Saturating Splines and Feature Selection (2016) (12)
The Jackknife and the Bootstrap (2016) (11)
No increased mortality with early aortic aneurysm disease. (2011) (10)
Selection of effects in Cox frailty models by regularization methods (2017) (10)
Targeted use of growth mixture modeling: a learning perspective (2017) (10)
An evaluation of beta-blockers, calcium antagonists, nitrates, and alternative therapies for stable angina. (1999) (10)
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball (2017) (10)
Expression Arrays and the p n Problem (2003) (9)
Discussion: Projection Pursuit (1985) (9)
Modeling and superposition of multiple protein structures using affine transformations: analysis of the globins. (1998) (9)
Significant sparse polygenic risk scores across 813 traits in UK Biobank (2022) (9)
Sparse Quadratic Discriminant Analysis and Community Bayes (2014) (9)
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank. (2020) (9)
Computer Age Statistical Inference, Student Edition (2021) (9)
Longitudinal data analysis using matrix completion (2018) (9)
Polygenic risk modeling with latent trait-related genetic components. (2021) (8)
Synergistic drug combinations from electronic health records and gene expression (2016) (8)
Statistical Measures for the Computer-Aided Diagnosis of Mammographic Masses (1999) (8)
Regularization methods for learning incomplete matrices (2009) (8)
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions (2021) (8)
Detection of Circulating Tumor DNA in Patients With Uterine Leiomyomas (2019) (8)
A Sketch-based Sampling Algorithm on Sparse Data (2006) (8)
Statistical Learning (2021) (8)
Margin-constrained random projections and very sparse random projections (2006) (8)
Discussion: Multivariate Adaptive Regression Splines (1991) (7)
Regularization paths and coordinate descent (2008) (7)
Finite-Sample Equivalence of Several Statistical Models for Presence-Only Data (2012) (7)
Backfitting for large scale crossed random effects regressions (2020) (7)
Support-Vector Machines and Kernel Methods (2016) (7)
Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study (2020) (7)
Association of cardiovascular events and lipoprotein particle size: Development of a risk score based on functional data analysis (2019) (7)
Construction of longitudinal prediction targets using semisupervised learning (2018) (7)
Standard Errors for Bagged Predictors and Random Forests (2013) (6)
Error coding and PaCT's (1997) (6)
Feature-weighted elastic net: using "features of features" for better prediction (2020) (6)
Discussions of boosting papers, and rejoinders (2004) (6)
Usefulness of generalized additive models (1996) (6)
Generalized Additive Models, Cubic Splines and Penalized Likelihood. (1987) (6)
[Monotone Regression Splines in Action]: Comment (1988) (6)
Polygenic risk modeling with latent trait-related genetic components (2019) (6)
Hierarchical Classification using Shrunken Centroids (2005) (6)
Rejoinder: Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons (2020) (5)
Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008 (2008) (5)
Effect of long-term antibiotic use on weight in adolescents with acne. (2016) (5)
Model Building and Feature Selection with Genomic Data (2007) (5)
Principal curve approaches for inferring 3D chromatin architecture (2020) (5)
Nonparametric Regression and Classification Part II—Nonparametric Classification (1994) (5)
Elastic Net Regularization Paths for All Generalized Linear Models (2021) (5)
Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank (2020) (5)
Canonical correlation analysis in high dimensions with structured regularization (2020) (4)
Healthcare worker absenteeism, child care costs, and COVID-19 school closures: a simulation analysis (2020) (4)
Supervised Learning from Microarray Data (2002) (3)
Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks (2021) (3)
Moving Beyond Linearity (2021) (3)
Multiclass-penalized logistic regression (2021) (3)
Survival analysis on rare events using group-regularized multi-response Cox regression (2020) (3)
Posttransplantation lymphoproliferative disease in heart and heart-lung transplant recipients: thirty years experience at our hospital. (2001) (3)
Undirected Graphical Models (2009) (3)
Discussion: The Use of Polynomial Splines and their Tensor Products in Multivariate Function Estimation (1994) (3)
Stable random projections and conditional random sampling, two sampling techniques for modern massive datasets (2007) (3)
Using aggregate patient data at the bedside via an on-demand consultation service (2021) (3)
TITLE : A statistical explanation of MaxEnt for ecologists (2010) (3)
Large-Scale Hypothesis Testing and FDRs (2021) (3)
Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis (2021) (3)
Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron (2020) (3)
Gamma-ray Bursts as distance indicators through a machine learning approach (2019) (3)
LinCDE: Conditional Density Estimation via Lindsey's Method (2021) (3)
A Proportional Observer Bias Model for Multispecies Distribution Modeling (2014) (3)
Discussion of “ Boosting Algorithms : Regularization , Prediction and Model Fitting ” by Peter Bühlmann and (2007) (2)
A New Algorithm for Matched Case-Control Studies with Applications to Additive Models (1988) (2)
Extracting cell-type-specific gene expression differences from complex tissues (2010) (2)
A ug 2 01 2 The Graphical Lasso : New Insights and Alternatives (2012) (2)
Scalable logistic regression with crossed random effects (2021) (2)
Author Correction: Genetics of 35 blood and urine biomarkers in the UK Biobank. (2021) (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)
Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks. (2021) (2)
Data Representation and Compression Using Linear-Programming Approximations (2015) (2)
Random Forests and Boosting (2021) (2)
Generalized Matrix Factorization (2020) (2)
Generalized additive models in Genstat: flexible nonparametric modelling extensions (1992) (1)
Discussion of \Evidence contrary to the statistical view of boosting" (2007) (1)
Automated survival prediction in metastatic cancer patients using high-dimensional electronic medical record data. (2018) (1)
Boosting Algorithms: Regularization, Prediction and Model Fitting. Comment. (2007) (1)
An RT-PCR-based multi-gene prognostic signature predicts distant metastasis of node negative, ER positive breast cancer from FFPE sections. (2006) (1)
Weighted Low Rank Matrix Approximation and Acceleration (2021) (1)
Regularization in Cox Frailty Models (2016) (1)
Algorithms and Inference (2016) (1)
Gene expression pro fi ling of low-grade endometrial stromal sarcoma indicates fusion protein-mediated activation of the Wnt signaling pathway (2018) (1)
Practical Procedures for Dimension Reduction in l 1 (1)
The Lasso for Linear Models (2015) (1)
Author Correction: An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging (2021) (1)
Statistical Curve Models For Inferring 3D Chromatin Architecture (2022) (1)
TITLE: A working guide to boosted regression trees (2008) (1)
Unsupervised Learning (2021) (1)
Comment on “Causal inference using invariant prediction” (2016) (1)
A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections (2007) (1)
Deep Learning (2021) (0)
Fused Lasso Latent Feature Model (2015) (0)
Fast Sparse-Group Lasso Method for Multi-response Cox Model with Applications to UK Biobank (2020) (0)
Multiple Testing (2021) (0)
Neural Networks and Deep Learning (2016) (0)
M E ] 2 7 A ug 2 00 7 Sparse inverse covariance estimation with the lasso Jerome Friedman (2008) (0)
Statistical Models for Image (2011) (0)
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta (2007) (0)
Empirical Bayes Estimation Strategies (2021) (0)
Submitted to the Annals of Applied Statistics FALSE VARIABLE SELECTION RATES IN REGRESSION By (2013) (0)
Twenty-First-Century Topics (2016) (0)
RbX: Region-based explanations of prediction models (2022) (0)
Extensions to other settings (2017) (0)
Survival Analysis and the EM Algorithm (2021) (0)
A Melting Pot (2021) (0)
Introduction (2021) (0)
2014 Ziegel Award Announcement (2016) (0)
Linear Regression (2021) (0)
PathGPS: Discover shared genetic architecture using biobank data (2022) (0)
Abstract P019: Identifying Laboratory Markers of Incident Myocardial Infarction through Electronic Health Records (2014) (0)
Automatic Bias Correction Methods in Semi-supervised Learning (2019) (0)
Sparse Multivariate Methods (2015) (0)
Sparse Discriminant Analysis Line Clemmensen (2010) (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)
Temporal dynamics of the multi-omic response to endurance exercise training across tissues (2022) (0)
Sparse Modeling and the Lasso (2016) (0)
Prediction of Secondary School Students’ Alcohol Addiction using Random Forest (2017) (0)
Matrix Decompositions, Approximations, and Completion (2015) (0)
Principal component analysis (2022) (0)
Objective Bayes Inference and MCMC (2021) (0)
Frequentist Inference (2021) (0)
Postwar Statistical Inference and Methodology (2021) (0)
Fisherian Inference and Maximum Likelihood Estimation (2016) (0)
Feature Extraction for Nonparametric (2016) (0)
Boosting and Support Vector Machines as Optimal Separators (2003) (0)
Some theory for additive models (2017) (0)
DINA: Estimating Heterogenous Treatment Effects in Exponential Family and Cox Model (2021) (0)
Integration of Mechanistic Immunological Knowledge into a Machine Learning Pipeline Increases Predictive Power (2020) (0)
LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK. (2022) (0)
Efficient Regularization Paths for Generalized Thresholding Operators (0)
P17. Effects of tumor–stroma interaction on global gene expression in breast cancer (2006) (0)
3-D Curve Matching Using (0)
Review ID: 9116 (2001) (0)
A Tutorial on Using the R Package FLLat (2017) (0)
Generalized Linear Models and Regression Trees (2021) (0)
Confidence Intervals for the Generalisation Error of Random Forests (2022) (0)
Fused Lasso Latent Feature Model [R package FLLat version 1.2-1] (2017) (0)
NEWOPPORTUNITIESAT THE INTERFACEBETWEENECOLOGYANDSTATISTICS Point processmodels for presence-only analysis (2015) (0)
Modeling longitudinal data using matrix completion (2018) (0)
THE LASSO AND RELATED METHODS 2 1 The lasso and related methods (2007) (0)
Classification (2021) (0)
Effects of tumor stroma interaction on global gene expression in breast cancer. (2006) (0)
SICKLE CELL DISEASE (1996) (0)
[Survey of antibiotic resistance in gram-negative bacteria using the cross product ratio]. (1979) (0)
Estimation and prediction in sparse and unbalanced tables (2017) (0)
Research and Applications Synergistic drug combinations from electronic health records and gene expression (2017) (0)
Fast Algorithms for Learning with Long N-grams via Suffix Tree Based Matrix Multiplication (2015) (0)
Evaluation of Beta-Blockers, Calcium Antagonists, Nitrates, and Alternative Therapies for Stable Angina: Summary (1999) (0)
Discussion (2009) (0)
Response transformation models (2017) (0)
ischemic mitral regurgitation Ischemia in three left ventricular regions: Insights into the pathogenesis of acute (2013) (0)
Survival Analysis and Censored Data (2021) (0)
Graphs and Model Selection (2015) (0)
Confounds in neuroimaging: A clear case of sex as a confound in brain-based prediction (2022) (0)
The Commonwealth of Nations (2021) (0)
Diagnosis of multiple cancer centroids of gene expression (2016) (0)
Perioperative analgesic administration during the 2018 parenteral opioid shortage in the United States - A retrospective analysis. (2020) (0)
? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? (2012) (0)
GAM selection via convex optimization (2015) (0)
Signal Approximation and Compressed Sensing (2015) (0)
Inference After Model Selection (2016) (0)
Providing for the Analysis of Generalized Additive Models within a System already Capable of Generalized Linear and Nonlinear Regression (1992) (0)
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays (2020) (0)
Dynamic Mixtures of Splines : a Model forSaliency Grouping in the Time FrequencyPlaneSt (1997) (0)
The Error Coding and Substitution PaCTs (1997) (0)
James–Stein Estimation and Ridge Regression (2021) (0)
2 Regularization Methods for Grouped Variable Selection (0)
Parametric Models and Exponential Families (2016) (0)
Smoothing in detail (2017) (0)
Smooth multi-period forecasting with application to prediction of COVID-19 cases (preprint) (2022) (0)
Resampling Methods (2021) (0)
Multivariate pattern analysis of physical activity and cartilage health: data from the osteoarthritis initiative (2017) (0)
Estimating Heterogeneous Treatment Effects for General Responses (2021) (0)
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach (2020) (0)

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