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Holan, S.H., T.S. McElroy, and G. Wu. The Cepstral Model for Multivariate Time Series: The Vector Exponential Model.. arXiv preprint 1406.0801, 2014, available at http://arxiv.org/abs/1406.0801.
Holan, S., W. Yang, D. Matteson, and C. Wikle. "Rejoinder: An approach for identifying and predicting economic recessions in real time using time frequency functional models." Applied Stochastic Models in Business and Industry 28 (2012): 504-505. DOI: 10.1002/asmb.1955, available at http://onlinelibrary.wiley.com/doi/10.1002/asmb.1955/full.
Holan, S.H.. An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models, Seminar on Bayesian Inference in Econometrics and Statistics (SBIES)., 2014.
Holan, S.H.. Recent Advances in Spatial Methods for Federal Surveys., 2013.
Holan, S., and C. Wikle. "Spatio-temporal Design: Advances in Efficient Data Acquisition." In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by Jorge Mateu and Werner Muller, 269-284. Wiley, 2013.
Holan, S.H.. "Bayesian Dynamic Time-Frequency Estimation." In Twelfth World Meeting of ISBA. Cancun, Mexico: ISBA, 2014.
Holan, S.H., and C.K. Wikle. "Hierarchical Dynamic Generalized Linear Mixed Models for Discrete-Valued Spatio-Temporal Data." In Handbook of Discrete-Valued Time Series, edited by R. Davis, S. Holan, R. Lund and N Ravishanker. Boca Raton, FL: Chapman and Hall/CRC Press, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
Holan, S.H.. Spatial Fay-Herriot Models for Small Area Estimation With Functional Covariates., 2014.
Holan, S.H.. "An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models." In Joint Statistical Meetings 2014. Boston, MA: Joint Statistical Meetings, 2014, available at http://www.amstat.org/meetings/jsm/2014/onlineprogram/AbstractDetails.cfm?abstractid=310841.
Holan, S.H.. Bayesian Multiscale Multiple Imputation With Implications to Data Confidentiality., 2012.
Holan, S., W. Yang, D. Matteson, and C.K. Wikle. "An Approach for Identifying and Predicting Economic Recessions in Real-Time Using Time-Frequency Functional Models." Applied Stochastic Models in Business and Industry 28 (2012): 485-499. DOI: 10.1002/asmb.1954, available at http://onlinelibrary.wiley.com/doi/10.1002/asmb.1954/full.
Holan, Scott, Jonathan R. Bradley, and Christopher K. Wikle. NCRN Meeting Spring 2015: Models for Multiscale Spatially-Referenced Count Data. NCRN Coordinating Office Preprint 1813:40176, 2015, available at http://hdl.handle.net/1813/40176.
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys., 2014.
Holan, S.H., T.S. McElroy, and G. Wu. "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.
Holan, S.H.. "Flexible Spectral Models for Multivariate Time Series." In Joint Statistical Meetings 2012., 2012.
Holan, S.H., and C.K. Wikle. "Hierarchical Dynamic Generalized Linear Mixed Models for Discrete--Valued Spatio-Temporal Data." In Handbook of Discrete--Valued Time Series., 2015.
Holan, S., and C.K. Wikle. "Semiparametric Dynamic Design of Monitoring Networks for Non-Gaussian Spatio-Temporal Data." In Spatio-temporal Design: Advances in Efficient Data Acquisition, edited by Jorge Mateu and Werner Muller, 269-284. Chichester, UK: Wiley, 2012, available at http://onlinelibrary.wiley.com/doi/10.1002/9781118441862.ch12/summary.
Hu, J., J.P. Reiter, and Q. Wang. "Dirichlet Process Mixture Models for Nested Categorical Data." ArXiv, no. 1412.2282 (2015), available at http://arxiv.org/pdf/1412.2282v3.pdf.
Hu, Jingchen, Jerome P. Reiter, and Quanli Wang. "Dirichlet Process Mixture Models for Modeling and Generating Synthetic Versions of Nested Categorical Data." Bayesian Analysis (2017). DOI: 10.1214/16-BA1047, available at http://projecteuclid.org/euclid.ba/1485227030.
Hu, J., J.P. Reiter, and Q. Wang. "Disclosure risk evaluation for fully synthetic data." In Privacy in Statistical Databases, 185-199. Vol. 8744. Heidelberg: Springer, 2014.
Hu, J.. Dirichlet Process Mixture Models for Nested Categorical Data (Ph.D. Thesis), Statistical Science. Duke University Ph.D., 2015, available at http://dukespace.lib.duke.edu/dspace/handle/10161/9933.
Hu, J., R. Mitra, and J.P. Reiter. "Are independent parameter draws necessary for multiple imputation?" The American Statistician 67 (2013): 143-149. DOI: 10.1080/00031305.2013.821953, available at http://www.tandfonline.com/doi/full/10.1080/00031305.2013.821953.
Hudomiet, Peter. he role of occupation specific adaptation costs in explaining the educational gap in unemployment.. Mimeo, 2015, available at https://sites.google.com/site/phudomiet/Hudomiet-JobMarketPaper.pdf?attredirects=0.
Hudomiet, Peter. Twitter, Big Data, and Jobs Numbers, LSA Today. online, 2014, available at http://www.lsa.umich.edu/lsa/ci.twitterbigdataandjobsnumbers_ci.detail.
Hudomiet, Peter. Four Essays in Unemployment, Wage Dynamics and Subjective Expectations, Department of Economics. Ann Arbor, MI: University of Michigan Ph.D., 2015, available at http://hdl.handle.net/2027.42/113598.

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