| Year |
Citation |
Score |
| 2018 |
Yu H, Wang Y, Opsomer J, Wang P, Ponce NA. A design‐based approach to small area estimation using a semiparametric generalized linear mixed model Journal of the Royal Statistical Society: Series a (Statistics in Society). 181: 1151-1167. DOI: 10.1111/Rssa.12351 |
0.639 |
|
| 2018 |
Brabanter KD, Cao F, Gijbels I, Opsomer J. Local polynomial regression with correlated errors in random design and unknown correlation structure Biometrika. 105: 681-690. DOI: 10.1093/Biomet/Asy025 |
0.338 |
|
| 2018 |
Ma H, Ogawa TK, Sminkey TR, Breidt FJ, Lesser VM, Opsomer JD, Foster JR, Van Voorhees DA. Pilot surveys to improve monitoring of marine recreational fisheries in Hawaiʻi Fisheries Research. 204: 197-208. DOI: 10.1016/J.Fishres.2018.02.010 |
0.389 |
|
| 2016 |
Hernandez-Stumpfhauser D, Breidt FJ, Opsomer JD. Variational approximations for selecting hierarchical models of circular data in a small area estimation application Statistics in Transition. 17. |
0.478 |
|
| 2015 |
Wang Y, Ponce NA, Wang P, Opsomer JD, Yu H. 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. PMID 26544642 DOI: 10.2105/Ajph.2015.302810 |
0.466 |
|
| 2015 |
He Z, Opsomer JD. Local polynomial regression with an ordinal covariate Journal of Nonparametric Statistics. 27: 516-531. DOI: 10.1080/10485252.2015.1078462 |
0.572 |
|
| 2015 |
Wu J, Meyer MC, Opsomer JD. Penalized isotonic regression Journal of Statistical Planning and Inference. 161: 12-24. DOI: 10.1016/j.jspi.2014.12.008 |
0.436 |
|
| 2014 |
Diao L, Smith DD, Datta GS, Maiti T, Opsomer JD. Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay-Herriot Model Scandinavian Journal of Statistics. 41: 497-515. DOI: 10.1111/Sjos.12045 |
0.633 |
|
| 2014 |
Sánchez-Borrego I, Opsomer JD, Rueda M, Arcos A. Nonparametric estimation with mixed data types in survey sampling Revista Matematica Complutense. 27: 685-700. DOI: 10.1007/s13163-013-0142-2 |
0.613 |
|
| 2014 |
Wang JC, Opsomer JD, Wang H. Bagging non-differentiable estimators in complex surveys Survey Methodology. 40: 189-209. |
0.666 |
|
| 2013 |
Dahlke M, Jay Breidt F, Opsomer JD, Van Keilegom I. Nonparametric endogenous post-stratification estimation Statistica Sinica. 23: 189-211. DOI: 10.5705/ss.2011.272 |
0.591 |
|
| 2013 |
Wang H, Meyer MC, Opsomer JD. Constrained spline regression in the presence of AR(p) errors Journal of Nonparametric Statistics. 25: 809-827. DOI: 10.1080/10485252.2013.804075 |
0.458 |
|
| 2013 |
Tipton J, Opsomer J, Moisen G. Properties of Endogenous Post-Stratified Estimation using remote sensing data Remote Sensing of Environment. 139: 130-137. DOI: 10.1016/J.Rse.2013.07.035 |
0.613 |
|
| 2012 |
Opsomer JD, Francisco-Fernández M, Li X. Model-Based Non-parametric Variance Estimation for Systematic Sampling Scandinavian Journal of Statistics. 39: 528-542. DOI: 10.1111/j.1467-9469.2011.00773.x |
0.586 |
|
| 2011 |
Wang JC, Opsomer JD. On asymptotic normality and variance estimation for nondifferentiable survey estimators Biometrika. 98: 91-106. DOI: 10.1093/biomet/asq077 |
0.626 |
|
| 2009 |
Kauermann G, Claeskens G, Opsomer JD. Bootstrapping for penalized spline regression Journal of Computational and Graphical Statistics. 18: 126-146. DOI: 10.1198/Jcgs.2009.0008 |
0.57 |
|
| 2009 |
Claeskens G, Krivobokova T, Opsomer JD. Asymptotic properties of penalized spline estimators Biometrika. 96: 529-544. DOI: 10.1093/biomet/asp035 |
0.553 |
|
| 2009 |
da Silva DN, Opsomer JD. Nonparametric propensity weighting for survey nonresponse through local polynomial regression Survey Methodology. 35: 165-176. |
0.606 |
|
| 2008 |
Opsomer JD, Claeskens G, Ranalli MG, Kauermann G, Breidt FJ. Non-parametric small area estimation using penalized spline regression Journal of the Royal Statistical Society. Series B: Statistical Methodology. 70: 265-286. DOI: 10.1111/J.1467-9868.2007.00635.X |
0.658 |
|
| 2007 |
Breidt FJ, Opsomer JD. Comment: Struggles with survey weighting and regression modeling Statistical Science. 22: 168-170. DOI: 10.1214/088342307000000195 |
0.339 |
|
| 2007 |
Opsomer JD, Breidt FJ, Moisen GG, Kauermann G. Model-assisted estimation of forest resources with generalized additive models Journal of the American Statistical Association. 102: 400-409. DOI: 10.1198/016214506000001491 |
0.616 |
|
| 2006 |
Da Silva DN, Opsomer JD. A kernel smoothing method of adjusting for unit non-response in sample surveys Canadian Journal of Statistics. 34: 553-579. |
0.599 |
|
| 2005 |
Breidt FJ, Claeskens G, Opsomer JD. Model-assisted estimation for complex surveys using penalised splines Biometrika. 92: 831-846. DOI: 10.1093/biomet/92.4.831 |
0.636 |
|
| 2005 |
Hall P, Opsomer JD. Theory for penalised spline regression Biometrika. 92: 105-118. DOI: 10.1093/Biomet/92.1.105 |
0.568 |
|
| 2005 |
Opsomer JD, Miller CP. Selecting the amount of smoothing in nonparametric regression estimation for complex surveys Journal of Nonparametric Statistics. 17: 593-611. DOI: 10.1080/10485250500054642 |
0.594 |
|
| 2005 |
Francisco-Fernandez M, Opsomer JD. Smoothing parameter selection methods for nonparametric regression with spatially correlated errors Canadian Journal of Statistics. 33: 279-295. |
0.413 |
|
| 2004 |
Kauermann G, Opsomer JD. Generalized Cross-Validation for Bandwidth Selection of Backfitting Estimates in Generalized Additive Models Journal of Computational and Graphical Statistics. 13: 66-89. DOI: 10.1198/1061860043056 |
0.553 |
|
| 2004 |
Francisco-Fernández M, Opsomer J, Vilar-Fernández JM. Plug-in bandwidth selector for local polynomial regression estimator with correlated errors Journal of Nonparametric Statistics. 16: 127-151. DOI: 10.1080/10485250310001622848 |
0.589 |
|
| 2003 |
Opsomer JD, Botts C, Kim JY. Small area estimation in a watershed erosion assessment survey Journal of Agricultural, Biological, and Environmental Statistics. 8: 139-152. DOI: 10.1198/1085711031607 |
0.618 |
|
| 2003 |
Kauermann G, Opsomer JD. Local likelihood estimation in generalized additive models Scandinavian Journal of Statistics. 30: 317-337. |
0.638 |
|
| 2001 |
Opsomer J, Wang Y, Yang Y. Nonparametric Regression with Correlated Errors Statistical Science. 16: 134-153. DOI: 10.1214/Ss/1009213287 |
0.415 |
|
| 2000 |
Opsomer JD. Asymptotic Properties of Backfitting Estimators Journal of Multivariate Analysis. 73: 166-179. DOI: 10.1006/jmva.1999.1868 |
0.557 |
|
| 2000 |
Breidt FJ, Opsomer JD. Local polynomial regression estimators in survey sampling Annals of Statistics. 28: 1026-1053. |
0.689 |
|
| 1999 |
Opsomer JD, Ruppert D, Wand MP, Holst U, Hössjer O. Kriging with nonparametric variance function estimation Biometrics. 55: 704-710. PMID 11314996 DOI: 10.1111/J.0006-341X.1999.00704.X |
0.608 |
|
| 1999 |
Opsomer JD, Ruppert D. A Root-n consistent backfitting estimator for semiparametric additive modeling Journal of Computational and Graphical Statistics. 8: 715-732. DOI: 10.1080/10618600.1999.10474845 |
0.573 |
|
| 1998 |
Opsomer JD, Ruppert D. A fully automated bandwidth selection method for fitting additive models Journal of the American Statistical Association. 93: 605-619. DOI: 10.1080/01621459.1998.10473714 |
0.423 |
|
| 1997 |
Opsomer JD, Ruppert D. Fitting a bivariate additive model by local polynomial regression Annals of Statistics. 25: 186-211. DOI: 10.1214/Aos/1034276626 |
0.473 |
|
| 1994 |
Opsomer JD, Conrad JM. An Open-Access Analysis of the Northern Anchovy Fishery Journal of Environmental Economics and Management. 27: 21-37. DOI: 10.1006/jeem.1994.1023 |
0.386 |
|
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