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David Dunson

Identifiers

  • name variant David Dunson 0.60 · backfill

Papers (29)

  1. Tensor network factorizations: Relationships between brain structural connectomes and traits stat.AP · 2018 · author #4
  2. Symmetric Bilinear Regression for Signal Subgraph Estimation stat.ME · 2018 · author #3
  3. Bayesian Mosaic: Parallelizable Composite Posterior stat.ME · 2018 · author #2
  4. Reducing over-clustering via the powered Chinese restaurant process cs.LG · 2018 · author #3
  5. Intrinsic Gaussian processes on complex constrained domains stat.ML · 2018 · author #6
  6. Common and Individual Structure of Brain Networks stat.CO · 2017 · author #3
  7. Extrinsic Gaussian processes for regression and classification on manifolds stat.ME · 2017 · author #4
  8. Adaptive posterior convergence rates in non-linear latent variable models math.ST · 2017 · author #4
  9. Convex Mixture Regression for Quantitative Risk Assessment stat.ME · 2017 · author #3
  10. Variable length trajectory compressible hybrid Monte Carlo physics.comp-ph · 2016 · author #2
  11. Geometrically Tempered Hamiltonian Monte Carlo stat.CO · 2016 · author #2
  12. DECOrrelated feature space partitioning for distributed sparse regression stat.ME · 2016 · author #2
  13. Optimal approximating Markov chains for Bayesian inference stat.CO · 2015 · author #4
  14. No penalty no tears: Least squares in high-dimensional linear models stat.ME · 2015 · author #2
  15. Scalable multiscale density estimation stat.ME · 2014 · author #3
  16. Median Selection Subset Aggregation for Parallel Inference stat.ML · 2014 · author #3
  17. Data augmentation for models based on rejection sampling stat.CO · 2014 · author #3
  18. Parallel inversion of huge covariance matrices stat.ME · 2013 · author #3
  19. Bayesian factorizations of big sparse tensors stat.ME · 2013 · author #4
  20. Bayesian crack detection in ultra high resolution multimodal images of paintings cs.CV · 2013 · author #6
  21. Bayesian inference on dependence in multivariate longitudinal data stat.AP · 2012 · author #5
  22. Finite sample posterior concentration in high-dimensional regression math.ST · 2012 · author #5
  23. Posterior contraction in sparse Bayesian factor models for massive covariance matrices math.ST · 2012 · author #4
  24. Beta-Negative Binomial Process and Poisson Factor Analysis stat.ML · 2011 · author #3
  25. Anisotropic function estimation using multi-bandwidth Gaussian processes math.ST · 2011 · author #3
  26. Efficient Gaussian Process Regression for Large Data Sets stat.ME · 2011 · author #2
  27. Density Estimation and Classification via Bayesian Nonparametric Learning of Affine Subspaces stat.ME · 2011 · author #3
  28. Generalized double Pareto shrinkage stat.ME · 2011 · author #2
  29. Bayesian Nonparametric Covariance Regression stat.ME · 2011 · author #2

Mentions

  • 1410.7692 #3 · backfill · confidence 0.70 David Dunson
  • 1410.6604 #3 · backfill · confidence 0.70 David Dunson
  • 1406.6652 #3 · backfill · confidence 0.70 David Dunson
  • 1312.1869 #3 · backfill · confidence 0.70 David Dunson
  • 1306.1598 #4 · backfill · confidence 0.70 David Dunson
  • 1304.5894 #6 · backfill · confidence 0.70 David Dunson
  • 1208.2977 #5 · backfill · confidence 0.70 David Dunson
  • 1207.4854 #5 · backfill · confidence 0.70 David Dunson
  • 1206.3627 #4 · backfill · confidence 0.70 David Dunson
  • 1112.3605 #3 · backfill · confidence 0.70 David Dunson
  • 1111.1044 #3 · backfill · confidence 0.70 David Dunson
  • 1106.5779 #2 · backfill · confidence 0.70 David Dunson
  • 1105.5737 #3 · backfill · confidence 0.70 David Dunson
  • 1104.0861 #2 · backfill · confidence 0.70 David Dunson
  • 1101.2017 #2 · backfill · confidence 0.70 David Dunson

Frequent Coauthors