Documents
Bayesian Hierarchical Multi-Population Multistate Jolly-Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program." Journal of the American Statistical Association 112, no. 518 (2017): 471-483. DOI: 10.1080/01621459.2016.1211531, available at http://www.tandfonline.com/doi/abs/10.1080/01621459.2016.1211531.
"The Cepstral Model for Multivariate Time Series: The Vector Exponential Model." Statistica Sinica 27 (2017): 23-42. DOI: 10.5705/ss.202014.0024, available at http://www3.stat.sinica.edu.tw/statistica/J27N1/J27N12/J27N12.html.
"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.
"The Cepstral Model for Multivariate Time Series: The Vector Exponential Model.. arXiv preprint 1406.0801, 2014, available at http://arxiv.org/abs/1406.0801.
Bayesian Modeling in the Era of Big Data: the Role of High-Throughput and High-Performance Computing." In The Extreme Science and Engineering Discovery Environment Conference. San Diego, CA, 2013.
"Binomial Mixture Models for Urban Ecological Monitoring Studies Using American Community Survey Demographic Covariates." In Joint Statistical Meetings 2013. Montreal, Canada, 2013.
"Hierarchical Bayesian Spatio-Temporal Conway-Maxwell Poisson Models with Dynamic Dispersion." Journal of Agricultural, Biological, and Environmental Statistics 18 (2013): 335-356. DOI: 10.1007/s13253-013-0141-2, available at http://link.springer.com/article/10.1007/s13253-013-0141-2.
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