D. Dunson

PROFILE

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Aliases
D. B. Dunson, D B Dunson, David Dunson, David B Dunson, D. Dunson, David B. Dunson
Publication record
628 papers · 40,019 citations · H-index 88

PAPERS

Modeling Recurrent Failures on Large Directed Networks
20248 citationsauthor #5
APOE, Immune Factors, Sex, and Diet Interact to Shape Brain Networks in Mouse Models of Aging
20244 citationsauthor #9
Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data
202312 citationsauthor #7
Bayesian Nonparametric Modeling of Latent Partitions via Stirling-Gamma Priors
20234 citationsauthor #3
Robustifying Likelihoods by Optimistically Re-weighting Data
20237 citationsauthor #4
Machine Learning and the Future of Bayesian Computation
20236 citationsauthor #5
Identifiable and interpretable nonparametric factor analysis
20235 citationsauthor #4
Ellipsoid Fitting With the Cayley Transform
20233 citationsauthor #2
LOW-RANK LONGITUDINAL FACTOR REGRESSION WITH APPLICATION TO CHEMICAL MIXTURES.
20231 citationsauthor #3
Bayesian Clustering via Fusing of Localized Densities
20235 citationsauthor #2
Nonparametric Bayes multiresolution testing for high-dimensional rare events
20230 citationsauthor #3
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
202314 citationsauthor #2
Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model
20235 citationsauthor #3
Multiscale Graph Comparison via the Embedded Laplacian Discrepancy
20225 citationsauthor #2
INFERRING SYNERGISTIC AND ANTAGONISTIC INTERACTIONS IN MIXTURES OF EXPOSURES.
20221 citationsauthor #3
Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease
20229 citationsauthor #9
Curved factor analysis with the Ellipsoid-Gaussian distribution
20224 citationsauthor #2
Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa
20222 citationsauthor #3
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes.
20227 citationsauthor #4
Corrigendum: Absolute winding number differentiates mouse spatial navigation strategies with genetic risk for Alzheimer's disease
20220 citationsauthor #9
Bag of DAGs: Flexible Nonstationary Modeling of Spatiotemporal Dependence
20220 citationsauthor #3
Spatial meshing for general Bayesian multivariate models
20227 citationsauthor #2
Bayesian Functional Principal Components Analysis using Relaxed Mutually Orthogonal Processes
20223 citationsauthor #3
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
202210 citationsauthor #3
COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES.
20221 citationsauthor #2
Identifying vulnerable brain networks associated with Alzheimer's disease risk.
202216 citationsauthor #8
Vulnerable Brain Networks Associated with Risk for Alzheimer’s Disease
20221 citationsauthor #8
Bayesian modeling of nearly mutually orthogonal processes
20222 citationsauthor #3
Multiscale Graph Comparison via the Embedded Laplacian Distance
20223 citationsauthor #2
Bayesian Modeling of Sequential Discoveries
20223 citationsauthor #4
Outlier detection for multi-network data
20224 citationsauthor #3
Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods
202270 citationsauthor #10
Tree representations of brain structural connectivity via persistent homology
20222 citationsauthor #4
Generalized infinite factorization models.
202129 citationsauthor #3
Identifying Interpretable Discrete Latent Structures from Discrete Data
20211 citationsauthor #2
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
202113 citationsauthor #4
Bag of DAGs: Flexible & Scalable Modeling of Spatiotem- poral Dependence
20212 citationsauthor #3
PPA: Principal parcellation analysis for brain connectomes and multiple traits
202113 citationsauthor #3
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets
20211 citationsauthor #3
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
20214 citationsauthor #2
Using prior information to boost power in correlation structure support recovery
20210 citationsauthor #2
Bayesian Inference on High-Dimensional Multivariate Binary Responses
20216 citationsauthor #3
Inferring manifolds using Gaussian processes
202118 citationsauthor #1
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets
202112 citationsauthor #3
Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes.
20212 citationsauthor #3
Gaussian Process Subspace Regression for Model Reduction
20215 citationsauthor #3
MCMC Sampling Geospatial Partitions for Linear Models
20210 citationsauthor #3
Scalable Bayesian inference for time series via divide-and-conquer
20216 citationsauthor #4
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data.
20214 citationsauthor #3
Efficiently Resolving Rotational Ambiguity in Bayesian Matrix Sampling with Matching
202119 citationsauthor #4
Closer than they appear: A Bayesian perspective on individual‐level heterogeneity in risk assessment
20219 citationsauthor #2
Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions
20217 citationsauthor #4
Limits of epidemic prediction using SIR models
202126 citationsauthor #5
J un 2 02 1 Bayesian inference on high-dimensional multivariate binary data
20210 citationsauthor #3
Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data
202128 citationsauthor #2
Diffusion Based Gaussian Processes on Restricted Domains
202011 citationsauthor #1
Composite mixture of log-linear models for categorical data
20202 citationsauthor #2
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods
202074 citationsauthor #2
PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES.
202023 citationsauthor #4
Bayesian neural networks and dimensionality reduction
20205 citationsauthor #3
Nearest Neighbor Dirichlet Process
20200 citationsauthor #3
Bayesian Closed Surface Fitting Through Tensor Products
20201 citationsauthor #3
The Hastings algorithm at fifty
202042 citationsauthor #1
Bayesian clustering of high-dimensional data
20203 citationsauthor #3
Density estimation and modeling on symmetric spaces
20206 citationsauthor #4
Extended Stochastic Block Models
20201 citationsauthor #4
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering
20205 citationsauthor #4
Bayesian matrix completion for hypothesis testing.
20202 citationsauthor #2
Bayesian nonparametric modelling of sequential discoveries
20201 citationsauthor #4
Exponential-Wrapped Distributions on Symmetric Spaces
202012 citationsauthor #4
Distributed Bayesian clustering using finite mixture of mixtures
20205 citationsauthor #3
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
20202 citationsauthor #4
Posterior Computation with the Gibbs Zig-Zag Sampler
20207 citationsauthor #4
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering
202056 citationsauthor #3
A generalized Bayes framework for probabilistic clustering.
202030 citationsauthor #3
Robust Optimization and Inference on Manifolds
20208 citationsauthor #4
Multi-scale graph principal component analysis for connectomics
20203 citationsauthor #3
Report of the Editors—2019
20200 citationsauthor #1
EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS.
202031 citationsauthor #4
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
202014 citationsauthor #2
Distributed Bayesian clustering
20200 citationsauthor #3
Nearest Neighbor Dirichlet Mixtures
20200 citationsauthor #3
Accelerated algorithms for convex and non-convex optimization on manifolds
20206 citationsauthor #4
Projected t-SNE for Batch Correction [R package bcTSNE version 0.10.0]
20200 citationsauthor #5
Reproducible Bootstrap Aggregating
20200 citationsauthor #2
Spatial Multivariate Trees for Big Data Bayesian Regression
202010 citationsauthor #2
BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA.
20200 citationsauthor #3
Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization
20200 citationsauthor #2
Classification Trees for Imbalanced Data: Surface-to-Volume Regularization
20206 citationsauthor #3
Graph based Gaussian processes on restricted domains
202028 citationsauthor #1
Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples.
201974 citationsauthor #1
Report of the Editors—2018
20190 citationsauthor #1
Auto-encoding graph-valued data with applications to brain connectomes
20194 citationsauthor #3
Classification via local manifold approximation
20196 citationsauthor #2
IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES.
201919 citationsauthor #2
The whole genome landscape of Burkitt lymphoma subtypes.
2019139 citationsauthor #43
Geodesic Distance Estimation with Spherelets
201925 citationsauthor #2
Batch correction of high-dimensional data
20190 citationsauthor #9
MULTIVARIATE MIXED MEMBERSHIP MODELING: INFERRING DOMAIN-SPECIFIC RISK PROFILES.
20194 citationsauthor #3
Stochastic Lipschitz Q-Learning
20194 citationsauthor #2

TIMELINE

1995 10 citations

1998 16 citations

1999 301 citations

2000 620 citations

2001 696 citations

2002 1,125 citations

2003 3,477 citations

2004 7,158 citations

2005 688 citations

2006 471 citations

2007 1,321 citations

2008 1,358 citations

2009 1,495 citations

2010 1,016 citations

2011 3,194 citations

2012 1,848 citations

2013 6,687 citations

2014 1,608 citations

2015 1,462 citations

2016 800 citations

2017 1,745 citations

2018 662 citations

2019 1,182 citations

2020 394 citations

2021 205 citations

2022 150 citations

2023 62 citations

2024 12 citations

Unknown 292 citations

D. Dunson

PROFILE

PAPERS

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