Martin Timothy Wells

Professor
ILR Statistics and Data Science · ILR

Martin Timothy Wells serves as Professor in ILR Statistics and Data Science at Cornell University.

447 publications
7,931 citations
39 h-index
Mathematics
Recent Papers (26)
2026-07-06 · Nature Communications · Genetics
Applying Artificial Intelligence and machine learning in precision nutrition
Julia L. FinkelsteinProf Assoc, HE Nutritional Science · CHE
David EricksonProfessor, Mechanical & Aerospace Engr DEPT · EN
2026-06-29 · PLoS ONE · Epidemiology
Charlson comorbidity health analytics: A population management strategy to identify risk of hospitalizations, repeated hospitalizations, and resultant high cost
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2026-05-26 · ArXiv.org · Statistics and Probability
Nonparametric Regression via Tree-Guided Feature Aggregation
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2026-05-07 · ArXiv.org · Economics and Econometrics
Modeling Dynamic Correlation Matrices with Shrinkage Priors
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2026-05-05 · ArXiv.org · Finance
Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2026-05-01 · American Journal of Respiratory and Critical Care Medicine · Pulmonary and Respiratory Medicine
A15-04 Airway-to-Lung Volume Ratio and Incidence of Interstitial Lung Abnormality in Community-dwelling Adults: The Multi-Ethnic Study of Atherosclerosis (MESA)
2026-04-16 · Journal of Empirical Legal Studies · Economics and Econometrics
An Assessment of Racial Disparities in Pretrial Decision‐Making Using Misclassification Models
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2021-08-23
Mixed effect modelling and variable selection for quantile regression
James G. BoothProfessor, Statistics and Data Science · CALS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2021-07-09
An Empirical Bayes Approach to Estimating Dynamic Models of Co-Regulated Gene Expression
Sumanta BasuProf Assoc, Statistics and Data Science · CALS
Andrew G. ClarkProfessor, Molecular Biology and Genetics · CAS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2020-11-09
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Robert A. JarrowProfessor, Finance Faculty · GM
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2020-11-05
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model
Sumanta BasuProf Assoc, Statistics and Data Science · CALS
Robert A. JarrowProfessor, Finance Faculty · GM
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2020-05-25
Robust Matrix Completion with Mixed Data Types
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2019-12-19
A Scalable Empirical Bayes Approach to Variable Selection in Generalized Linear Models
James G. BoothProfessor, Statistics and Data Science · CALS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2019-06-26
Fairness criteria through the lens of directed acyclic graphical models
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2019-05-27
Tuning Free Rank-Sparse Bayesian Matrix and Tensor Completion with Global-Local Priors
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2019-01-01
Clustering Structure of Microstructure Measures
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2018-11-01
Ludometrics: Luck, and How to Measure It
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2018-01-01
High Dimensional Estimation and Multi-Factor Models
Sumanta BasuProf Assoc, Statistics and Data Science · CALS
Robert A. JarrowProfessor, Finance Faculty · GM
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2017-12-13
On the domain of attraction of a Tracy–Widom law with applications to testing multiple largest roots
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2016-11-22
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2016-04-07
Penalized Versus Constrained Generalized Eigenvalue Problems
James G. BoothProfessor, Statistics and Data Science · CALS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2016-01-14
Improved second order estimation in the singular multivariate normal model
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2012-02-01
On Improved Loss Estimation for Shrinkage Estimators
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2010-01-01
Majorization-Minimization algorithms for nonsmoothly penalized objective functions
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2009-05-01
A Multivariate Variance Components Model for Analysis of Covariance in Designed Experiments
James G. BoothProfessor, Statistics and Data Science · CALS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2009-05-01
A Conversation with Shayle R. Searle
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR