World's Best Scientists 2026 revealed!
David B. Dunson

David B. Dunson

Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
91
Citations
66254
World Ranking
63
National Ranking
41

Engineering and Technology

D-Index
82
Citations
63465
World Ranking
455
National Ranking
156

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2010 - COPSS Presidents' Award For his wide-ranging and fundamental contributions to the development of parametric and nonparametric modeling within complex Bayesian frameworks; for making significant concurrent scientific progress in machine learning through this development; for use of this methodology in substantive applications, notably in reproductive epidemiology; and for outstanding service to the profession as well as mentoring of students and post-doctoral researchers.
  • 2007 - Fellow of the American Statistical Association (ASA)

Overview

David B. Dunson is affiliated with Duke University in the United States. Their research spans multiple fields, focusing extensively on computer science and mathematics. The primary areas of study include artificial intelligence, statistics and probability, molecular biology, computational theory and mathematics, and radiology, nuclear medicine and imaging.

Their work heavily emphasizes Bayesian methods, mixture models, and statistical inference. Key research topics include:

  • Bayesian Methods and Mixture Models
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Gaussian Processes and Bayesian Inference
  • Bayesian Modeling and Causal Inference
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications

David B. Dunson has published extensively, with frequent appearances in several academic venues. The main publication outlets include:

  • arXiv (Cornell University)
  • UNC Libraries
  • The Annals of Applied Statistics
  • Biometrika
  • Journal of the American Statistical Association

Some recent papers authored or co-authored by Dunson are:

  • "Nonparametric Bayes Modeling of Populations of Networks," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods," 2022, International Journal of Environmental Research and Public Health
  • "Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples," 2021, Applied and Computational Harmonic Analysis
  • "Extended stochastic block models with application to criminal networks," 2022, The Annals of Applied Statistics
  • "Projected t-SNE for batch correction," 2020, Bioinformatics

Frequent co-authors who have collaborated with Dunson include:

  • Amy H. Herring
  • Tommaso Rigon
  • Didong Li
  • Alessandro Zito
  • Deborshee Sen

Throughout their career, Dunson has received recognition from professional societies. Awards include the 2010 COPSS Presidents' Award, given for contributions to parametric and nonparametric modeling within Bayesian frameworks and their applications to scientific fields, and being named a Fellow of the American Statistical Association in 2007.

Best Publications

  • Bayesian Data Analysis

    Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

  • How to make more out of community data? A conceptual framework and its implementation as models and software.

    Otso Ovaskainen;Otso Ovaskainen;Gleb Tikhonov;Anna Norberg;F. Guillaume Blanchet;F. Guillaume Blanchet

  • Bayesian data analysis, third edition

    A Gelman;JB Carlin;HS Stern;DB Dunson

  • Genetic heterogeneity of diffuse large B-cell lymphoma

    Jenny Zhang;Vladimir Grubor;Cassandra L. Love;Anjishnu Banerjee

  • Multitask Compressive Sensing

    S. Ji;D. Dunson;L. Carin

  • Sparse Bayesian infinite factor models

    A. Bhattacharya;D. B. Dunson

  • A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

    Anna Norberg;Nerea Abrego;Nerea Abrego;F. Guillaume Blanchet;Frederick R. Adler

  • Dirichlet–Laplace Priors for Optimal Shrinkage

    Anirban Bhattacharya;Debdeep Pati;Natesh S. Pillai;David B. Dunson

  • Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

    Mingyuan Zhou;Haojun Chen;John Paisley;Lu Ren

  • Probabilistic Topic Models

    David Blei;Lawrence Carin;David Dunson

  • Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives

    Allen J. Wilcox;David B. Dunson;Clarice R. Weinberg;James Trussell

  • The Nested Dirichlet Process

    Abel Rodríguez;David B Dunson;Alan E Gelfand

  • GENERALIZED DOUBLE PARETO SHRINKAGE.

    Artin Armagan;David B. Dunson;Jaeyong Lee

  • Bayesian latent variable models for clustered mixed outcomes

    D. B. Dunson

  • Kernel stick-breaking processes

    David B. Dunson;Ju-Hyun Park

  • Commentary: Practical Advantages of Bayesian Analysis of Epidemiologic Data

    David B. Dunson

  • Random effects selection in linear mixed models.

    Zhen Chen;David B. Dunson

  • Bayesian consensus clustering.

    Eric F. Lock;David B. Dunson

  • Bayesian density regression

    David B. Dunson;Natesh Pillai;Ju-Hyun Park

  • Bayesian Structural Equation Modeling

    Jesus Palomo;David B. Dunson;Ken Bollen

  • Multi-Task Compressive Sensing

    Shihao Ji;David Dunson;Lawrence Carin

  • Hierarchical linear models

    Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

Frequent Co-Authors

Lawrence Carin
Lawrence Carin Duke University
Aki Vehtari
Aki Vehtari Aalto University
John B. Carlin
John B. Carlin University of Melbourne
Andrew Gelman
Andrew Gelman Columbia University
Donald B. Rubin
Donald B. Rubin Temple University
Donna D. Baird
Donna D. Baird National Institutes of Health
Otso Ovaskainen
Otso Ovaskainen University of Jyväskylä
Nerea Abrego
Nerea Abrego University of Jyväskylä
Eric D. Hsi
Eric D. Hsi Cleveland Clinic
Shawn Levy
Shawn Levy Vanderbilt University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open doors to diverse career opportunities. Many professionals complement their math expertise with business and finance skills, making programs like the easiest mba program attractive options for those seeking accessible pathways into management roles.

If convenience and flexibility are priorities, the easiest mba program rankings highlight online options that combine quality education with an accommodating format, ideal for working graduates aiming to enhance their leadership skills without sacrificing their time.

For those interested in higher-level administrative roles, pursuing a doctorate like the dba programs online can expand expertise in business analytics and strategic decision-making, skills that integrate well with quantitative math backgrounds.

Additionally, launching a career in finance can be seamless with an online masters in finance programs, which emphasize financial modeling and risk assessment—fields where advanced mathematical techniques are invaluable. Exploring these related degrees can greatly enhance your career prospects post-graduation.

Best Scientists Citing David B. Dunson

Trending Scientists