Now showing items 1-20 of 25

    • A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice. 

      Chabout, J; Dunson, David B; Fisher, SE; Jarvis, Erich David; Patel, SR; Radden, T; Sarkar, Abhra (Front Behav Neurosci, 2016)
      Development of proficient spoken language skills is disrupted by mutations of the FOXP2 transcription factor. A heterozygous missense mutation in the KE family causes speech apraxia, involving difficulty producing words ...
    • Approximations of Markov Chains and High-Dimensional Bayesian Inference 

      Dunson, David B; Johndrow, James E; Mattingly, Jonathan Christopher; Mukherjee, Sayan (2015)
    • Bayesian crack detection in ultra high resolution multimodal images of paintings 

      Cornelis, Bruno Ingmar; Daubechies, Ingrid; Dooms, A; Dunson, David B; Vogelstein, Joshua T; Yang, Y (2013 18th International Conference on Digital Signal Processing, DSP 2013, 2013-12-06)
      The preservation of our cultural heritage is of paramount importance. Thanks to recent developments in digital acquisition techniques, powerful image analysis algorithms are developed which can be useful non-invasive tools ...
    • Bayesian Gaussian Copula Factor Models for Mixed Data. 

      Carin, Lawrence; Dunson, David B; Lucas, Joseph E; Murray, JS (J Am Stat Assoc, 2013-06-01)
      Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent ...
    • Bayesian generalized product partition model 

      Dunson, David B; Park, JH (Statistica Sinica, 2010-07-01)
      Starting with a carefully formulated Dirichlet process (DP) mixture model, we derive a generalized product partition model (GPPM) in which the partition process is predictor-dependent. The GPPM generalizes DP clustering ...
    • Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions. 

      Dunson, David B; Xing, C (PLoS Comput Biol, 2011-07)
      Protein-protein interactions (PPIs) are essential to most fundamental cellular processes. There has been increasing interest in reconstructing PPIs networks. However, several critical difficulties exist in obtaining reliable ...
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies 

      Carin, Lawrence; Chen, Bo; Chen, Minhua; Dunson, David B; Ginsburg, Geoffrey Steven; Hero, Alfred; Lucas, Joseph E; ... (10 authors) (BMC BIOINFORMATICS, 2010-11-09)
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies. 

      Carin, Lawrence; Chen, B; Chen, M; Dunson, David B; Ginsburg, Geoffrey Steven; Hero, Alfred; Lucas, J; ... (10 authors) (BMC Bioinformatics, 2010-11-09)
      BACKGROUND: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques ...
    • Bayesian network-response regression. 

      Dunson, David B; Durante, D; Jung, RE; Wang, Lu (Bioinformatics, 2017-01-06)
      Motivation: There is increasing interest in learning how human brain networks vary as a function of a continuous trait, but flexible and efficient procedures to accomplish this goal are limited. We develop a Bayesian ...
    • Beta-negative binomial process and poisson factor analysis 

      Carin, Lawrence; Dunson, David B; Hannah, LA; Zhou, M (Journal of Machine Learning Research, 2012-01-01)
      © Copyright 2012 by the authors. A beta-negative binomial (BNB) process is proposed, leading to a beta-gamma-Poisson process, which may be viewed as a "multiscoop" generalization of the beta-Bernoulli process. The BNB process ...
    • Data augmentation for models based on rejection sampling. 

      Dunson, David B; Lin, L; Rao, V (Biometrika, 2016-06)
      We present a data augmentation scheme to perform Markov chain Monte Carlo inference for models where data generation involves a rejection sampling algorithm. Our idea is a simple scheme to instantiate the rejected proposals ...
    • Dynamic nonparametric bayesian models for analysis of music 

      Carin, Lawrence; Dunson, David B; Lindroth, S; Ren, L (Journal of the American Statistical Association, 2010-06-01)
      The dynamic hierarchical Dirichlet process (dHDP) is developed to model complex sequential data, with a focus on audio signals from music. The music is represented in terms of a sequence of discrete observations, and the ...
    • Efficient Gaussian process regression for large datasets. 

      Banerjee, A; Dunson, David B; Tokdar, ST (Biometrika, 2013-03)
      Gaussian processes are widely used in nonparametric regression, classification and spatiotemporal modelling, facilitated in part by a rich literature on their theoretical properties. However, one of their practical limitations ...
    • Generalized admixture mapping for complex traits. 

      Ashley-Koch, A; Dunson, David B; Zhu, B (G3 (Bethesda), 2013-07-08)
      Admixture mapping is a popular tool to identify regions of the genome associated with traits in a recently admixed population. Existing methods have been developed primarily for identification of a single locus influencing ...
    • Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation. 

      Ashley-Koch, A; Cope, Heidi; Dunson, David B; Fuchs, Herbert Edgar; Garrett, ME; Grant, Gerald Arthur; Gregory, Simon Gray; ... (10 authors) (BMC Genomics, 2015-01-22)
      BACKGROUND: Expression quantitative trait loci (eQTL) play an important role in the regulation of gene expression. Gene expression levels and eQTLs are expected to vary from tissue to tissue, and therefore multi-tissue analyses ...
    • Latent Stick-Breaking Processes. 

      Dunson, David B; Gelfand, Alan E; Rodríguez, A (J Am Stat Assoc, 2010-04-01)
      We develop a model for stochastic processes with random marginal distributions. Our model relies on a stick-breaking construction for the marginal distribution of the process, and introduces dependence across locations by ...
    • Lognormal and gamma mixed negative binomial regression 

      Carin, Lawrence; Dunson, David B; Li, L; Zhou, M (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012-10-10)
      In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal and gamma mixed negative ...
    • Male mice song syntax depends on social contexts and influences female preferences 

      Chabout, J; Dunson, David B; Jarvis, Erich David; Sarkar, Abhra (FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2015-04-01)
    • Male mice song syntax depends on social contexts and influences female preferences. 

      Chabout, J; Dunson, David B; Jarvis, Erich David; Sarkar, Abhra (Front Behav Neurosci, 2015)
      In 2005, Holy and Guo advanced the idea that male mice produce ultrasonic vocalizations (USV) with some features similar to courtship songs of songbirds. Since then, studies showed that male mice emit USV songs in different ...
    • Methodologic and statistical approaches to studying human fertility and environmental exposure. 

      Dunson, David B; Stanford, JB; Tingen, C (Environ Health Perspect, 2004-01)
      Although there has been growing concern about the effects of environmental exposures on human fertility, standard epidemiologic study designs may not collect sufficient data to identify subtle effects while properly adjusting ...