David Dunson
131 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-4942-1597
Department of Statistical Science, Duke University, Durham, NC
Publications
- Bayesian Level Set Clustering — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
- Adaptive Bayesian regression on data with low intrinsic dimensionality — The Annals of Statistics 2026
- Robustifying Likelihoods by Optimistically Re-weighting Data — Journal of the American Statistical Association 2025
- Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis — Journal of the American Statistical Association 2025
- Product centred Dirichlet processes for Bayesian multiview clustering — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Inferring synergistic and antagonistic interactions in mixtures of exposures — The Annals of Applied Statistics 2025
- Low-rank longitudinal factor regression with application to chemical mixtures — The Annals of Applied Statistics 2025
- Factor pretraining in Bayesian multivariate logistic models — Biometrika 2025
- Bayesian learning of clinically meaningful sepsis phenotypes in northern Tanzania — The Annals of Applied Statistics 2025
- Bayesian Clustering via Fusing of Localized Densities — Journal of the American Statistical Association 2025
- Modeling Recurrent Failures on Large Directed Networks — Journal of the American Statistical Association 2025
- Exact sampling of spanning trees via fast-forwarded random walks — Biometrika 2025
- Bayesian inference for generalized linear models via quasi-posteriors — Biometrika 2025
- Infinite joint species distribution models — Biometrika 2025
- Radial neighbours for provably accurate scalable approximations of Gaussian processes — Biometrika 2024
- Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data — The Annals of Applied Statistics 2024
- Bayesian Inference on High-Dimensional Multivariate Binary Responses — Journal of the American Statistical Association 2024
- A generalized Bayes framework for probabilistic clustering — Biometrika 2023
- Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Classification Trees for Imbalanced Data: Surface-to-Volume Regularization — Journal of the American Statistical Association 2023
- Bayesian Modeling of Sequential Discoveries — Journal of the American Statistical Association 2023
- Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions — Journal of the American Statistical Association 2023
- Correction to: ‘Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation’ — Biometrika 2022
- Extended stochastic block models with application to criminal networks — The Annals of Applied Statistics 2022
- Composite mixture of log-linear models with application to psychiatric studies — The Annals of Applied Statistics 2022
- Generalized infinite factorization models — Biometrika 2022
- Graph based Gaussian processes on restricted domains — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Efficient manifold approximation with spherelets — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Multivariate mixed membership modeling: Inferring domain-specific risk profiles — The Annals of Applied Statistics 2022
- Bayesian semiparametric long memory models for discretized event data — The Annals of Applied Statistics 2022
- Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation — Biometrika 2021
- Perturbed factor analysis: Accounting for group differences in exposure profiles — The Annals of Applied Statistics 2021
- Bayesian joint modeling of chemical structure and dose response curves — The Annals of Applied Statistics 2021
- Bayesian Factor Analysis for Inference on Interactions — Journal of the American Statistical Association 2021
- Classification via local manifold approximation — Biometrika 2020
- Estimating densities with non-linear support by using Fisher–Gaussian kernels — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Report of the Editors—2019 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Identifying main effects and interactions among exposures using Gaussian processes — The Annals of Applied Statistics 2020
- The Hastings algorithm at fifty — Biometrika 2020
- Efficient posterior sampling for high-dimensional imbalanced logistic regression — Biometrika 2020
- Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods — Biometrika 2020
- Bayesian cumulative shrinkage for infinite factorizations — Biometrika 2020
- Bayesian constraint relaxation — Biometrika 2020
- Discussion — Journal of the American Statistical Association 2020
- Comparing and Weighting Imperfect Models Using D-Probabilities — Journal of the American Statistical Association 2020
- Targeted Random Projection for Prediction From High-Dimensional Features — Journal of the American Statistical Association 2020
- Robust Bayesian Inference via Coarsening — Journal of the American Statistical Association 2019
- Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions — Journal of the American Statistical Association 2019
- MCMC for Imbalanced Categorical Data — Journal of the American Statistical Association 2019
- Intrinsic Gaussian processes on complex constrained domains — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
- Common and individual structure of brain networks — The Annals of Applied Statistics 2019
- Report of the Editors—2018 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
- Theoretical limits of microclustering for record linkage — Biometrika 2018
- Report of the Editors—2017 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
- Fast Moment Estimation for Generalized Latent Dirichlet Models — Journal of the American Statistical Association 2018
- Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax — Journal of the American Statistical Association 2018
- Nonparametric Bayes Modeling of Populations of Networks — Journal of the American Statistical Association 2017
- Bayesian local extremum splines — Biometrika 2017
- Bayesian inference for Matérn repulsive processes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
- Tensor decompositions and sparse log-linear models — The Annals of Statistics 2017
- Report of the Editors—2016 — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
- Simple, scalable and accurate posterior interval estimation — Biometrika 2017
- Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics — Operations Research 2017
- Extrinsic Local Regression on Manifold-Valued Data — Journal of the American Statistical Association 2017
- Expandable factor analysis — Biometrika 2017
- Rejoinder: Nonparametric Bayes Modeling of Populations of Networks — Journal of the American Statistical Association 2017
- Nonparametric Bayes inference on conditional independence — Biometrika 2016
- Bayesian manifold regression — The Annals of Statistics 2016
- Data augmentation for models based on rejection sampling — Biometrika 2016
- Bayesian Conditional Tensor Factorizations for High-Dimensional Classification — Journal of the American Statistical Association 2016
- Bayesian inference on quasi-sparse count data — Biometrika 2016
- Bayesian Nonparametric Modeling of Higher Order Markov Chains — Journal of the American Statistical Association 2016
- Locally adaptive dynamic networks — The Annals of Applied Statistics 2016
- Bayesian Factorizations of Big Sparse Tensors — Journal of the American Statistical Association 2015
- Dirichlet–Laplace Priors for Optimal Shrinkage — Journal of the American Statistical Association 2015
- Bayesian Compressed Regression — Journal of the American Statistical Association 2015
- Marginally specified priors for non-parametric Bayesian estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
- Shared kernel Bayesian screening — Biometrika 2015
- Posterior contraction in sparse Bayesian factor models for massive covariance matrices — The Annals of Statistics 2014
- Bayes Variable Selection in Semiparametric Linear Models — Journal of the American Statistical Association 2014
- Bayesian monotone regression using Gaussian process projection — Biometrika 2014
- Comment — Journal of the American Statistical Association 2014
- Bayesian Multiscale Modeling of Closed Curves in Point Clouds — Journal of the American Statistical Association 2014
- Latent factor models for density estimation — Biometrika 2014
- Mechanistic Hierarchical Gaussian Processes — Journal of the American Statistical Association 2014
- Enriched Stick-Breaking Processes for Functional Data — Journal of the American Statistical Association 2014
- Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies — The Annals of Applied Statistics 2014
- Nonparametric Bayes dynamic modelling of relational data — Biometrika 2014
- Anisotropic function estimation using multi-bandwidth Gaussian processes — The Annals of Statistics 2014
- Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes — Journal of the American Statistical Association 2013
- Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables — Journal of the American Statistical Association 2013
- Efficient Gaussian process regression for large datasets — Biometrika 2013
- Posterior consistency in linear models under shrinkage priors — Biometrika 2013
- Classification via Bayesian Nonparametric Learning of Affine Subspaces — Journal of the American Statistical Association 2013
- Nonparametric Bayes modelling of count processes — Biometrika 2013
- Bayesian Gaussian Copula Factor Models for Mixed Data — Journal of the American Statistical Association 2013
- Simplex Factor Models for Multivariate Unordered Categorical Data — Journal of the American Statistical Association 2012
- Predicting Viral Infection From High-Dimensional Biomarker Trajectories — Journal of the American Statistical Association 2011
- Bayesian geostatistical modelling with informative sampling locations — Biometrika 2011
- Nonparametric Bayes Stochastically Ordered Latent Class Models — Journal of the American Statistical Association 2011
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