Jean Opsomer

Vice President; Statistical Fellows Committee Co-Chair

Jean Opsomer, Ph.D., 是否具有应用统计方法回答研究问题的丰富经验的高级统计学家. 他负责多个大型调查项目的统计和调查方法.

Dr. Opsomer is an Adjunct Professor in the Department of Mathematics at University of Maryland, College Park. Previously, 他是科罗拉多州立大学和爱荷华州立大学统计学系的教员. 他最近的研究集中在在调查估计中引入形状约束和非参数方法，以及在一系列主题(高等教育)的调查组成部分的几个跨学科项目上, public health, nutrition, employment, fisheries management, methane emissions, forest health, and agricultural erosion). The author or coauthor of 70 peer-reviewed articles, 他在调查估计中引入了许多有影响的新颖统计方法. 他的方法论和理论工作经常受到与他有长期合作关系的联邦统计机构内部出现的问题的推动.

Dr. Opsomer是美国统计协会(ASA)和数理统计学会的会员，也是国际统计学会的民选成员. He is the recipient of the Carver Medal of the Institute of Mathematical Statistics. In recognition of his contributions to the field, Dr. Opsomer被任命为韦斯特高级统计研究员和统计研究员委员会联合主席, 就重要的调查统计问题提供谘询，并探讨应用统计的最新进展.

Education

Ph.D., Operations Research , Cornell University

M.B.A., Finance, University of Chicago

M.S., Management Engineering, Katholieke Universiteit Leuven, Belgium

Areas of Expertise

Statistical Sciences

Selected Publications

Jones J.M., Stone M., Sulaeman H., Fink R.V., Dave H., Levy M.E., Di Germanio C., Green V., Notari E., Saa P., Biggerstaff B.J., Strauss D., Kessler D., Vassallo R., Reik R., Rossmann S., Destree M., Nguyen K.-A., Sayers M., Lough C., Bougie D.W., Ritter M., Latoni G., Weales B., Sime S., Gorlin J., Brown N.E., Gould C.V., Berney K., Benoit T.J., Miller M.J., Freeman D., Kartik D., Fry A.M., Azziz-Baumgartner E., Hall A.J., MacNeil A., Gundlapalli A.V., Basavaraju S.V., Gerber S.I., Patton M.E., Custer B., Williamson P., Simmons G., Thornburg N.J., Kleinman S., Stramer S.L., Opsomer J.D., and Busch M.P. (2021).

基于献血，估计美国感染和疫苗诱导的SARS-CoV-2血清流行率, July 2020-May 2021.

Journal of the American Medical Association, 326(14), 1400-1409.

Source | DOI | PubMed

Xu X., Meyer M.C., and Opsomer J.D. (2021).

改进的方差估计不等式约束域均值估计使用调查数据.

Journal of Statistical Planning and Inference, 215, 47-71.

Source | DOI

Stone M., Di Germanio C., Wright D.J., Sulaeman H., Dave H., Fink R.V., Notari E.P., Green V., Strauss D., Kessler D., Destree M., Saa P., Williamson P.C., Simmons G., Stramer S.L., Opsomer J., Jones J.M., Kleinman S., and Busch M.P. (2021).

Use of U.S. 国家对严重急性呼吸综合征冠状病毒2型抗体血清监测的献血者:扩大国家献血者血清监测计划的基础.

Clinical Infectious Diseases.

Source | DOI | PubMed

Erciulescu A.L., Opsomer J.D., and Breidt F.J. (2021).

A bridging model to reconcile statistics based on data from multiple surveys.

Annals of Applied Statistics, 15(2), 1068-1079.

Source | DOI

Opsomer J., Chen A., Chang W.-Y., and Foley D. (2021).

U.S. employment higher in the private sector than in the education sector for U.S.美国培养的博士科学家和工程师:2019年博士学位获得者调查的结果.

(NSF 21-319). Alexandria, VA: National Science Foundation.

Source

Piesse A., Opsomer J., Dohrmann S., DiGaetano R., Morganstein D., Taylor K., Carusi C., and Hyland A. (2021).

Longitudinal uses of the Population Assessment of Tobacco and Health Study.

Tobacco Regulatory Science, 7(1), 3-16.

Source | DOI | PubMed

Oliva-Aviles C., Meyer M.C., and Opsomer J.D. (2020).

Estimation and inference of domain means subject to qualitative constraints.

Survey Methodology, 46(2), 145-180.

Source

Harrison S.P., Schoen R., Atcitty D., Fiegener R., Goodhue R., Havens K., House C.C., Johnson R.C., Leger E., Lesser V., Opsomer J.D., Shaw N., Soltis D.E., Swinton S.M., Toth E., and Young S.A. (2020).

Preparing for the need for a supply of native seed.

Ecological Restoration, 38(4), 203-206.

DOI

Meilan-Vila A., Opsomer J.D., Francisco-Fernandez M., and Crujeiras R.M. (2020).

A goodness-of-fit test for regression models with spatially correlated errors.

Test, 29, 728-749.

DOI

Olson K., Smyth J.D., Horwitz R., Keeter S., Lesser V., Marken S., Mathiowetz N.A., McCarthy J.S., O'Brien E., Opsomer J.D., Steiger D., Sterrett D., Su J., Suzer-Gurtekin Z.T., Turakhia C., and Wagner J. (2020).

从电话调查到自我管理和混合模式调查的转变:AAPOR工作组报告.

Journal of Survey Statistics and Methodology, 9(3), 381-411.

DOI

Dohrmann S., Jones M., Kalton G., and Opsomer J. (2019).

A review of the Address Coverage Enhancement Scheme for in-person household surveys.

美国统计协会2019年调查研究方法分会论文集. (pp. 1454-1463).

Source (PDF)

Erciulescu A.L. and Opsomer J.D. (2019).

A model-based approach to predict employee compensation components.

Joint Statistical Meetings Proceedings. Government Statistics Section. (pp. 1601-1623). Alexandria, VA: American Statistical Association.

Source (PDF)

Oliva-Aviles C., Meyer M.C., and Opsomer J.D. (2019).

Checking validity of monotone domain mean estimators.

Canadian Journal of Statistics, 47, 315-331.

DOI

Ma H., Ogawa T.K., Sminkey T.R., Breidt F.J., Lesser V.M., Opsomer J.D., Foster J.R., and Van Voorhees D.A. (2018).

Pilot surveys to improve monitoring of marine recreational fisheries in Hawaii.

Fisheries Research, 204, 197-208.

DOI

Breidt F.J., Opsomer J.D., and Huang C.M. (2018).

Model-assisted survey estimation with imperfectly matched auxiliary data.

In Predictive econometrics and big data (pp. 21-35). (Studies in Computational Intelligence). New York, NY: Springer.

Source

Yu H., Wang Y., Opsomer J.D., Wang P., and Ponce N. (2018).

基于设计的半参数广义线性混合模型小面积估计方法.

Journal of the Royal Statistical Society, Series A, 181, 1151-1167.

DOI

De Brabanter K., Cao F., Gijbels I., and Opsomer J.D. (2018).

具有随机设计相关误差和未知相关结构的局部多项式回归.

Biometrika, 105(3), 681-690.

DOI

Breidt F.J. and Opsomer J.D. (2017).

Model-assisted survey estimation with modern prediction techniques.

Statistical Science, 32(2), 16.

DOI

Hernandez-Stumpfhauser D., Breidt F.J., and Opsomer J.D. (2016).

用变分近似选择小面积圆形数据分层模型.

Statistics in Transition, 17(2), 91-104.

Source

Wu J., Meyer M.C., and Opsomer J.D. (2016).

Survey estimation of domain means that respect natural orderings.

Canadian Journal of Statistics, 44(4), 431-444.

DOI

Opsomer J.D., Breidt F.J., White M., and Li Y. (2016).

Successive difference replication variance estimation in two-phase sampling.

Journal of Survey Statistics and Methodology, 4(1), 43-70.

DOI

Ma H., Ogawa T.K., Breidt F.J., Lesser V.M., Opsomer J.D., Sminkey T.R., Hawkins C., Bagwill A., and Van Voorhees D.A. (2016).

Pilot surveys of shore fishing on Oahu, Hawaii.

Proceedings of the Survey Research Methods Section, American Statistical Association (pp. 2355-2369). Alexandria, VA: American Statistical Association.

Source (PDF)

Breidt F.J., Opsomer J.D., and Sanchez-Borrego I. (2016).

精细分层下的非参数方差估计:一种替代垮落地层的方法.

Journal of the American Statistical Association, 111(514), 822-833.

DOI

Ranalli M.G., Breidt F.J., and Opsomer J.D. (2016).

Nonparametric regression methods for small area estimation.

In M. Pratesi (Ed.), Analysis of poverty data by small area estimation (pp. 187-204). New York, NY: Wiley.

DOI

Hernandez-Stumpfhauser D., Breidt F.J., and Opsomer J.D. (2016).

Hierarchical Bayesian small area estimation for circular data.

Canadian Journal of Statistics, 44(4), 416-430.

DOI

Jean Opsomer

Education

Areas of Expertise

Statistical Sciences

Selected Publications

基于献血，估计美国感染和疫苗诱导的SARS-CoV-2血清流行率, July 2020-May 2021.

改进的方差估计不等式约束域均值估计使用调查数据.

Use of U.S. 国家对严重急性呼吸综合征冠状病毒2型抗体血清监测的献血者:扩大国家献血者血清监测计划的基础.

A bridging model to reconcile statistics based on data from multiple surveys.

U.S. employment higher in the private sector than in the education sector for U.S.美国培养的博士科学家和工程师:2019年博士学位获得者调查的结果.

Longitudinal uses of the Population Assessment of Tobacco and Health Study.

Estimation and inference of domain means subject to qualitative constraints.

Preparing for the need for a supply of native seed.

A goodness-of-fit test for regression models with spatially correlated errors.

从电话调查到自我管理和混合模式调查的转变:AAPOR工作组报告.

A review of the Address Coverage Enhancement Scheme for in-person household surveys.

A model-based approach to predict employee compensation components.

Checking validity of monotone domain mean estimators.

Pilot surveys to improve monitoring of marine recreational fisheries in Hawaii.

Model-assisted survey estimation with imperfectly matched auxiliary data.

基于设计的半参数广义线性混合模型小面积估计方法.

具有随机设计相关误差和未知相关结构的局部多项式回归.

Model-assisted survey estimation with modern prediction techniques.

用变分近似选择小面积圆形数据分层模型.

Survey estimation of domain means that respect natural orderings.

Successive difference replication variance estimation in two-phase sampling.

Pilot surveys of shore fishing on Oahu, Hawaii.

精细分层下的非参数方差估计:一种替代垮落地层的方法.

Nonparametric regression methods for small area estimation.

Hierarchical Bayesian small area estimation for circular data.

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You’ll be in great company.