Documents

Export 47 results:
Author Title Type [ Year(Asc)]
Filters: First Letter Of Title is B  [Clear All Filters]
2016
De Yoreo, M., and A. Kottas. "A Bayesian nonparametric Markovian model for nonstationary time series." Statistics and Computing (2016).
Steorts, Rebecca C., Rob Hall, and Stephen E. Fienberg. "A Bayesian Approach to Graphical Record Linkage and Deduplication." Journal of the American Statistical Association 111 (2016): 1660-1672. DOI: 10.1080/01621459.2015.1105807, available at http://dx.doi.org/10.1080/01621459.2015.1105807.
Bradley, J.R., S.H. Holan, and C.K. Wikle. "Bayesian Hierarchical Models with Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family." Journal of the American Statistical Association - T&M. (2016), available at https://arxiv.org/abs/1701.07506.
Si, Y., J. P. Reiter, and D. S. Hillygus. "Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples." Annals of Applied Statistics 10 (2016): 118-143. DOI: 10.1214/15-AOAS876, available at http://projecteuclid.org/euclid.aoas/1458909910.
Yang, W.H., S.H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." Bayesian Analysis (2016): 977-1003, available at https://arxiv.org/abs/1408.2757.
DeYoreo, Maria, and Jerome P. Reiter. Bayesian mixture modeling for multivariate conditional distributions. ArXiv 1606.04457, 2016, available at http://arxiv.org/abs/1606.04457.
DeYoreo, Maria, and Athanasios Kottas. A Bayesian nonparametric Markovian model for nonstationary time series. ArXiv 1601.04331, 2016, available at http://arxiv.org/abs/1601.04331.
Hahn, P. R., J. S. Murray, and I. Manolopoulou. "A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct." Journal of the American Statistical Association 111, no. 513 (2016): 14-26. DOI: 10.1080/01621459.2015.1084307, available at http://www.tandfonline.com/doi/full/10.1080/01621459.2015.1084307.
Manrique-Vallier, Daniel, and Jerome P. Reiter. "Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1231612, available at http://dx.doi.org/10.1080/01621459.2016.1231612.
Bradley, J.R., C.K. Wikle, and S.H. Holan. "Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2016): 472-487, available at https://arxiv.org/abs/1405.7227.
2015
Yang, W. H., C.K. Wikle, S.H. Holan, K. Sudduth, and D.B. Meyers. "Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors." Statistica Sinica 25 (2015). DOI: 10.5705/ss.2013.245w , available at http://www3.stat.sinica.edu.tw/preprint/SS-13-245w_Preprint.pdf.
Wu, G., S.H. Holan, C.H. Nilon, and C.K. Wikle. "Bayesian Binomial Mixture Models for Estimating Abundance in Ecological Monitoring Studies." Annals of Applied Statistics 9 (2015): 1-26. DOI: 10.1214/14-AOAS801, available at http://projecteuclid.org/euclid.aoas/1430226082.
Zhuang, L., and N. Cressie. "Bayesian Hierarchical Statistical SIRS Models." Statistical Methods and Applications 23 (2015): 601-646. DOI: 10.1007/s10260-014-0280-9.
Si, Yajuan, Jerome P. Reiter, and Sunshine D. Hillygus. "Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples." ArXiv, no. 1509.02124 (2015), available at http://arxiv.org/abs/1509.02124.
Yang, W. H., Scott H. Holan, and Christopher K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time–Frequency Analysis." Project Euclid (2015): 27. DOI: 10.1214/15-BA978, available at http://projecteuclid.org/euclid.ba/1445263834.
Yang, W. H., S. H. Holan, and C.K. Wikle. "Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis." ArXiv, no. 1408.2757 (2015), available at http://arxiv.org/abs/1408.2757.
Quick, H., S. H. Holan, C. K. Wikle, and J. P. Reiter. "Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." ArXiv, no. 1407.7795 (2015), available at http://arxiv.org/abs/1407.7795.
Quick, Harrison, Scott H. Holan, Christopher K. Wikle, and Jerome P. Reiter. "Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography." Spatial Statistics 14 (2015): 439-451. DOI: 10.1016/j.spasta.2015.07.008, available at http://www.sciencedirect.com/science/article/pii/S2211675315000718.
Porter, A.T., S.H. Holan, and C.K. Wikle. "Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models." Journal of Statistical Planning and Inference 165 (2015): 78-90. DOI: 10.1016/j.jspi.2015.04.002.
Bradley, Jonathan R., Christopher K. Wikle, and Scott H. Holan. "Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2015). DOI: 10.1080/01621459.2015.1117471, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2015.1117471.
Bradley, Jonathan, C.K. Wikle, and S. H. Holan. "Bayesian Spatial Change of Support for Count-Valued Survey Data with Application to the American Community Survey." Journal of the American Statistical Association (2015). DOI: 10.1080/01621459.2015.1117471, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2015.1117471.
Bradley, J. R., C.K. Wikle, and S. H. Holan. "Bayesian Spatial Change of Support for Count–Valued Survey Data." ArXiv, no. 1405.7227 (2015), available at http://arxiv.org/abs/1405.7227.
Sadosky, Peter, Anshumali Shrivastava, Megan Price, and Rebecca Steorts. Blocking Methods Applied to Casualty Records from the Syrian Conflict, ArXiv. 1510.07714, 2015, available at http://arxiv.org/abs/1510.07714.

Pages