Bayesian Smoothing and Regression Splines for Measurement Error Problems
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Cited by:
- Stephen C. Smith & Sungil Kwak, 2011. "Multidimensional Poverty and Interlocking Poverty Traps: Framework and Application to Ethiopian Household Panel Data," Working Papers 2011-04, The George Washington University, Institute for International Economic Policy.
- repec:jss:jstsof:37:i05 is not listed on IDEAS
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018.
"On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
- Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2015. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Papers 1508.02973, arXiv.org, revised Mar 2018.
- Delaigle, Aurore & Meister, Alexander, 2007. "Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1416-1426, December.
- Marcus Groß, 2016. "Modeling body height in prehistory using a spatio-temporal Bayesian errors-in variables model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(3), pages 289-311, July.
- Peter Hall & Joel L. Horowitz, 2013. "A simple bootstrap method for constructing nonparametric confidence bands for functions," CeMMAP working papers CWP29/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Zhuan Pei & Yi Shen, 2017.
"The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable,"
Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 455-502,
Emerald Group Publishing Limited.
- Pei, Zhuan & Shen, Yi, 2016. "The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable," IZA Discussion Papers 10320, Institute of Labor Economics (IZA).
- Zhuan Pei & Yi Shen, 2016. "The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable," Working Papers 606, Princeton University, Department of Economics, Industrial Relations Section..
- Lambert, Philippe, 2007. "Archimedean copula estimation using Bayesian splines smoothing techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6307-6320, August.
- Xin-Yuan Song & Zhao-Hua Lu & Jing-Heng Cai & Edward Ip, 2013. "A Bayesian Modeling Approach for Generalized Semiparametric Structural Equation Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 624-647, October.
- Sungil Kwak & Stephen C. Smith, 2013.
"Regional Agricultural Endowments and Shifts of Poverty Trap Equilibria: Evidence from Ethiopian Panel Data,"
Journal of Development Studies, Taylor & Francis Journals, vol. 49(7), pages 955-975, July.
- Stephen C. Smith & Sungil Kwak, 2011. "Regional Agricultural Endowments and Shifts of Poverty Trap Equilibria: Evidence from Ethiopian Panel Data," Working Papers 2011-01, The George Washington University, Institute for International Economic Policy.
- Jullion, Astrid & Lambert, Philippe, 2007. "Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2542-2558, February.
- Sexton, Joseph & Laake, Petter, 2008. "LogitBoost with errors-in-variables," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2549-2559, January.
- Carroll, Raymond J. & Delaigle, Aurore & Hall, Peter, 2009. "Nonparametric Prediction in Measurement Error Models," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 993-1003.
- Delaigle, Aurore & Fan, Jianqing & Carroll, Raymond J., 2009. "A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 348-359.
- Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
- Timothy J. Heaton, 2022. "Non‐parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1918-1956, November.
- Polzehl, Jorg & Zwanzig, Silvelyn, 2004. "On a symmetrized simulation extrapolation estimator in linear errors-in-variables models," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 675-688, November.
- Bhadra, Anindya, 2017. "An expectation–maximization scheme for measurement error models," Statistics & Probability Letters, Elsevier, vol. 120(C), pages 61-68.
- Lambert, Philippe & Eilers, Paul H.C., 2009. "Bayesian density estimation from grouped continuous data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1388-1399, February.
- Nels G. Johnson & Inyoung Kim, 2019. "Semiparametric approaches for matched case–control studies with error-in-covariates," Computational Statistics, Springer, vol. 34(4), pages 1675-1692, December.
- Li, Mengyan & Ma, Yanyuan & Li, Runze, 2019. "Semiparametric regression for measurement error model with heteroscedastic error," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 320-338.
- Ciprian Crainiceanu & David Ruppert & M.P. Wand, 2004. "Bayesian Analysis for Penalized Spline Regression Using Win BUGS," Johns Hopkins University Dept. of Biostatistics Working Paper Series 1040, Berkeley Electronic Press.
- repec:jss:jstsof:14:i14 is not listed on IDEAS
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