Jean Opsomer

Affiliations: 
Iowa State University, Ames, IA, United States 
Area:
Statistics
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"Jean Opsomer"

Children

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Xiao-Hu Liu grad student 2001 Iowa State
Damiao N. da Silva grad student 2003 Iowa State
Cristiano Ferraz grad student 2004 Iowa State
Ji-Yeon Kim grad student 2004 Iowa State
Xiaoxi Li grad student 2006 Iowa State
Lixia Diao grad student 2008 Iowa State
Lifeng You grad student 2009 Iowa State
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Publications

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Hernandez-Stumpfhauser D, Breidt FJ, Opsomer JD. (2016) Variational approximations for selecting hierarchical models of circular data in a small area estimation application Statistics in Transition. 17
Wang Y, Ponce NA, Wang P, et al. (2015) Generating Health Estimates by Zip Code: A Semiparametric Small Area Estimation Approach Using the California Health Interview Survey. American Journal of Public Health. 105: 2534-2540
Zimmerle DJ, Williams LL, Vaughn TL, et al. (2015) Methane Emissions from the Natural Gas Transmission and Storage System in the United States. Environmental Science & Technology. 49: 9374-83
He Z, Opsomer JD. (2015) Local polynomial regression with an ordinal covariate Journal of Nonparametric Statistics. 27: 516-531
Wu J, Meyer MC, Opsomer JD. (2015) Penalized isotonic regression Journal of Statistical Planning and Inference. 161: 12-24
Diao L, Smith DD, Datta GS, et al. (2014) Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay-Herriot Model Scandinavian Journal of Statistics. 41: 497-515
Sánchez-Borrego I, Opsomer JD, Rueda M, et al. (2014) Nonparametric estimation with mixed data types in survey sampling Revista Matematica Complutense. 27: 685-700
Wang JC, Opsomer JD, Wang H. (2014) Bagging non-differentiable estimators in complex surveys Survey Methodology. 40: 189-209
Dahlke M, Jay Breidt F, Opsomer JD, et al. (2013) Nonparametric endogenous post-stratification estimation Statistica Sinica. 23: 189-211
Wang H, Meyer MC, Opsomer JD. (2013) Constrained spline regression in the presence of AR(p) errors Journal of Nonparametric Statistics. 25: 809-827
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