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Journal of the American Statistical Association Volume 97, 2002 - Issue 457
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Primary Article

Bayesian Smoothing and Regression Splines for Measurement Error Problems

Scott M Berry Scott M. Berry is Statistical Scientist, Berry Consultants, Sycamore, IL 60178 . Raymond J. Carroll is Distinguished Professor, Department of Statistics, Texas A&M University, College Station TX 77843 . David Ruppert is Professor, School of Operations Research & Industrial Engineering, Cornell University, Ithaca, New York 14853 . Carroll's research was supported by National Cancer Institute grant CA-57030, and by the Texas A&M Center for Environmental and Rural Health via National Institute of Environmental Health Sciences grant P30-ES09106. Ruppert's research was supported by National Science Foundation grant DMS-9804058. The authors thank the associate editor and two referees for many helpful comments.
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Raymond J Carroll Scott M. Berry is Statistical Scientist, Berry Consultants, Sycamore, IL 60178 . Raymond J. Carroll is Distinguished Professor, Department of Statistics, Texas A&M University, College Station TX 77843 . David Ruppert is Professor, School of Operations Research & Industrial Engineering, Cornell University, Ithaca, New York 14853 . Carroll's research was supported by National Cancer Institute grant CA-57030, and by the Texas A&M Center for Environmental and Rural Health via National Institute of Environmental Health Sciences grant P30-ES09106. Ruppert's research was supported by National Science Foundation grant DMS-9804058. The authors thank the associate editor and two referees for many helpful comments.
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David Ruppert Scott M. Berry is Statistical Scientist, Berry Consultants, Sycamore, IL 60178 . Raymond J. Carroll is Distinguished Professor, Department of Statistics, Texas A&M University, College Station TX 77843 . David Ruppert is Professor, School of Operations Research & Industrial Engineering, Cornell University, Ithaca, New York 14853 . Carroll's research was supported by National Cancer Institute grant CA-57030, and by the Texas A&M Center for Environmental and Rural Health via National Institute of Environmental Health Sciences grant P30-ES09106. Ruppert's research was supported by National Science Foundation grant DMS-9804058. The authors thank the associate editor and two referees for many helpful comments.
Pages 160-169 | Published online: 31 Dec 2011

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