Search Results - "Dunson, D."

Sparse Bayesian infinite factor models by BHATTACHARYA, A., DUNSON, D. B.

“…We focus on sparse modelling of high-dimensional covariance matrices using Bayesian latent factor models. We propose a multiplicative gamma process shrinkage…”
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The Hastings algorithm at fifty by Dunson, D B, Johndrow, J E

“…Summary In a 1970 Biometrika paper, W. K. Hastings developed a broad class of Markov chain algorithms for sampling from probability distributions that are…”
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Generalized infinite factorization models by Schiavon, L, Canale, A, Dunson, D B

“…Summary Factorization models express a statistical object of interest in terms of a collection of simpler objects. For example, a matrix or tensor can be…”
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Multitask Compressive Sensing by Ji, S., Dunson, D., Carin, L.

“…Compressive sensing (CS) is a framework whereby one performs N nonadaptive measurements to constitute a vector v isin R N used to recover an approximation u…”
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A hybrid bayesian approach for genome-wide association studies on related individuals by Yazdani, A, Dunson, D B

“…Both single marker and simultaneous analysis face challenges in GWAS due to the large number of markers genotyped for a small number of subjects. This large p…”
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Commentary: Practical Advantages of Bayesian Analysis of Epidemiologic Data by DUNSON, David B

“…In the past decade, there have been enormous advances in the use of Bayesian methodology for analysis of epidemiologic data, and there are now many practical…”
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Bayesian geostatistical modelling with informative sampling locations by PATI, D., REICH, B. J., DUNSON, D. B.

“…We consider geostatistical models that allow the locations at which data are collected to be informative about the outcomes. A Bayesian approach is proposed,…”
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Theoretical limits of microclustering for record linkage by JOHNDROW, J. E., LUM, K., DUNSON, D. B.

“…There has been substantial recent interest in record linkage, where one attempts to group the records pertaining to the same entities from one or more large…”
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Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation by van den Boom, W, Reeves, G, Dunson, D B

“…Summary Posterior computation for high-dimensional data with many parameters can be challenging. This article focuses on a new method for approximating…”
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Latent factor models for density estimation by KUNDU, S., DUNSON, D. B.

“…Although discrete mixture modelling has formed the backbone of the literature on Bayesian density estimation, there are some well-known disadvantages. As an…”
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Bayesian inference for Matérn repulsive processes by Rao, Vinayak, Adams, Ryan P., Dunson, David D., Dunson, D. B.

“…In many applications involving point pattern data, the Poisson process assumption is unrealistic, with the data exhibiting a more regular spread. Such…”
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Posterior consistency in linear models under shrinkage priors by ARMAGAN, A., DUNSON, D. B., LEE, J., BAJWA, W. U., STRAWN, N.

“…We investigate the asymptotic behaviour of posterior distributions of regression coefficients in highdimensional linear models as the number of dimensions…”
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Bayesian local extremum splines by WHEELER, M. W., DUNSON, D. B., HERRING, A. H.

“…We consider shape-restricted nonparametric regression on a closed set X ⊂ ℝ, where it is reasonable to assume that the function has no more than H local…”
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Bayesian latent variable models for clustered mixed outcomes by Dunson, D. B.

“…A general framework is proposed for modelling clustered mixed outcomes. A mixture of generalized linear models is used to describe the joint distribution of a…”
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Changes with age in the level and duration of fertility in the menstrual cycle by Dunson, David B., Colombo, Bernardo, Baird, Donna D.

“…BACKGROUND: Most analyses of age-related changes in fertility cannot separate effects due to reduced frequency of sexual intercourse from effects directly…”
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Nonparametric Bayes modeling with sample survey weights by Kunihama, T., Herring, A.H., Halpern, C.T., Dunson, D.B.

“…In population studies, it is standard to sample data via designs in which the population is divided into strata, with the different strata assigned different…”
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The timing of the “fertile window” in the menstrual cycle: day specific estimates from a prospective study by Wilcox, Allen J, Dunson, David, Baird, Donna Day

“…Abstract Objectives: To provide specific estimates of the likely occurrence of the six fertile days (the “fertile window”) during the menstrual cycle. Design:…”
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Day-specific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation by Dunson, D.B., Baird, D.D., Wilcox, A.J., Weinberg, C.R.

“…Two studies have related the timing of sexual intercourse (relative to ovulation) to day-specific fecundability. The first was a study of Catholic couples…”
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The relationship between cervical secretions and the daily probabilities of pregnancy: effectiveness of the TwoDay Algorithm by Dunson, D.B., Sinai, I., Colombo, B.

“…BACKGROUND: The TwoDay Algorithm is a simple method for identifying the fertile window. It classifies a day as fertile if cervical secretions are present on…”
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Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data by Kai Ni, Paisley, J., Carin, L., Dunson, D.

“…A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple…”
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