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Statistics in Biosciences|June 19, 2015
Semiparametric Bayes local additive models for longitudinal dataZhaowei Hua, Hongtu Zhu, David B DunsonJournal of the Royal Statistical Society. Series B, Statistical Methodology|July 18, 2022
Estimating densities with non-linear support by using Fisher-Gaussian kernelsMinerva Mukhopadhyay, Didong Li, David B DunsonJournal of the American Statistical Association|April 9, 2020
Nonparametric Bayes Models of Fiber Curves Connecting Brain RegionsZhengwu Zhang, Maxime Descoteaux, David B DunsonBiostatistics (Oxford, England)|August 19, 2008
Bayesian hierarchically weighted finite mixture models for samples of distributionsAbel Rodriguez, David B Dunson, Jack TaylorProceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|October 4, 2014
Tree-Structured Infinite Sparse Factor ModelXianXing Zhang, David B Dunson, Lawrence CarinAdvances in Neural Information Processing Systems|November 4, 2014
Generalized Beta Mixtures of GaussiansArtin Armagan, David B Dunson, Merlise ClydeNeuroimage|November 25, 2021
Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasetsMeimei Liu, Zhengwu Zhang, David B DunsonBiometrika|June 4, 2026
Sequential Gibbs posteriors with applications to principal component analysisSteven Winter, Omar Melikechi, David B DunsonThe Annals of Applied Statistics|December 5, 2022
BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATAAntik Chakraborty, Otso Ovaskainen, David B DunsonBiodemography and Social Biology|February 18, 2020
Assessing heterogeneity in menstrual cycles by means of a multilevel latent class approachFrancesca Bassi, Bruno ScarpaPageof 25