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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.
Holan, S.H.. A Bayesian Approach to Estimating Agricultural Yield Based on Multiple Repeated Surveys, Institute of Public Policy and the Truman School of Public Affairs., 2013.
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., 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.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.
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.
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.
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.
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.

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