Documents
] 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.
"Hierarchcial models for uncertainty quantification: An overview." In Handbook of Uncertainty Quantification, edited by Ghanem, R., Higdon, D. and Owhadi, H.. Springer, 2015.
"Hierarchical Agent-Based Spatio-Temporal Dynamic Models for Discrete Valued 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.
"Hierarchical Dynamic Generalized Linear Mixed Models for Discrete--Valued Spatio-Temporal Data." In Handbook of Discrete--Valued Time Series., 2015.
"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.
"Hierarchical Spatial Models." In Encyclopedia of Geographical Information Science. Springer, 2015.
"Hierarchical, stochastic modeling across spatiotemporal scales of large river ecosystems and somatic growth in fish populations under various climate models: Missouri River sturgeon example." Geological Society (2015).
"Hot enough for you? A spatial exploratory and inferential analysis of North American climate-change projections." Mathematical Geosciences (2015). DOI: 10.1007/s11004-015-9607-9, available at http://dx.doi.org/10.1007/s11004-015-9607-9.
How individuals smooth spending: Evidence from the 2013 government shutdown using account data. National Bureau of Economic Research, 2015.
"I Know What You Did Next: Predicting Respondent’s Next Activity Using Machine Learning." In 70th Annual Conference of the American Association for Public Opinion Research (AAPOR). Hollywood, Florida, 2015, available at http://www.aapor.org/AAPORKentico/Conference/Recent-Conferences.aspx.
Introduction to The Survey of Income and Program Participation (SIPP). University of Michigan Preprint 1813:40169, 2015, available at http://hdl.handle.net/1813/40169.
"Long Memory Discrete--Valued Time Series." In Handbook of Discrete-Valued Time Series. Chapman and Hall, 2015, available at http://www.crcpress.com/product/isbn/9781466577732.
Modeling Endogenous Mobility in Wage Determination. Cornell University Preprint 1813:40306, 2015, available at http://hdl.handle.net/1813/40306.
Modeling Endogenous Mobility in Wage Determination. NCRN Coordinating Office Preprint 1813:52608, 2015, available at http://hdl.handle.net/1813/52608.
Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California. ArXiv 1507.01242, 2015, available at http://arxiv.org/abs/1507.01242.
"Modern Perspectives on Statistics for Spatio-Temporal Data." WIRES Computational Statistics 7, no. 1 (2015): 86-98. DOI: 10.1002/wics.1341, available at http://dx.doi.org/10.1002/wics.1341.
"Moving Toward the New World of Censuses and Large-Scale Sample Surveys: Methodological Developments and Practical Implementations." Journal of Official Statistics (2015).
"Multiple imputation for harmonizing longitudinal non-commensurate measures in individual participant data meta-analysis." Statistics in Medicine (2015). DOI: 10.1002/sim.6562, available at http://onlinelibrary.wiley.com/doi/10.1002/sim.6562/abstract.
"Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." arXiv, no. 1410.0438 (2015), available at arxiv.org/abs/1410.0438.
Multiscale Analysis of Survey Data: Recent Developments and Exciting Prospects, Statistics Views., 2015.
"Multivariate Spatial Covariance Models: A Conditional Approach." (2015), available at https://arxiv.org/abs/1504.01865.
"Multivariate Spatial Hierarchical Bayesian Empirical Likelihood Methods for Small Area Estimation." STAT 4, no. 1 (2015): 108-116. DOI: 10.1002/sta4.81, available at http://dx.doi.org/10.1002/sta4.81.
"Multivariate Spatio-Temporal Models for High-Dimensional Areal Data with Application to Longitudinal Employer-Household Dynamics." Annals of Applied Statistics 9, no. 4 (2015). DOI: 0.1214/15-AOAS862.
"Multivariate Spatio-Temporal Models for High-Dimensional Areal Data with Application to Longitudinal Employer-Household Dynamics." ArXiv, no. 1503.00982 (2015), available at http://arxiv.org/abs/1503.00982.
NCRN Meeting Fall 2016: Dynamic Question Ordering: Obtaining Useful Information While Reducing Burden. Carnegie-Mellon University Preprint 1813:45822, 2015, available at http://hdl.handle.net/1813/45822.