Unified estimation of densities on bounded and unbounded domains
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DOI: 10.1007/s10463-018-0663-z
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- Mynbayev, Kairat & Martins-Filho, Carlos, 2017. "Unified estimation of densities on bounded and unbounded domains," MPRA Paper 87044, University Library of Munich, Germany, revised Jan 2018.
References listed on IDEAS
- Kairat Mynbaev & Carlos Martins-Filho & Aziza Aipenova, 2016.
"A Class of Nonparametric Density Derivative Estimators Based on Global Lipschitz Conditions,"
Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 591-615,
Emerald Group Publishing Limited.
- Mynbaev, Kairat & Martins-Filho, Carlos & Aipenova, Aziza, 2015. "A class of nonparametric density derivative estimators based on global Lipschitz conditions," MPRA Paper 75909, University Library of Munich, Germany, revised 2014.
- Song Chen, 2000. "Probability Density Function Estimation Using Gamma Kernels," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(3), pages 471-480, September.
- Kairat Mynbaev & Carlos Martins-Filho, 2010.
"Bias reduction in kernel density estimation via Lipschitz condition,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(2), pages 219-235.
- Mynbaev, Kairat & Martins-Filho, Carlos, 2009. "Bias reduction in kernel density estimation via Lipschitz condition," MPRA Paper 24904, University Library of Munich, Germany.
- Malec, Peter & Schienle, Melanie, 2014.
"Nonparametric kernel density estimation near the boundary,"
Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 57-76.
- Malec, Peter & Schienle, Melanie, 2012. "Nonparametric Kernel density estimation near the boundary," SFB 649 Discussion Papers 2012-047, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Chen, Song Xi, 1999. "Beta kernel estimators for density functions," Computational Statistics & Data Analysis, Elsevier, vol. 31(2), pages 131-145, August.
- McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
- Kuangyu Wen & Ximing Wu, 2015. "An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 773-783, June.
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Cited by:
- Martins-Filho, Carlos & Xie, Sihong & Yao, Feng, 2022. "A new estimator of a jump discontinuity in regression," Economics Letters, Elsevier, vol. 218(C).
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More about this item
Keywords
Nonparametric density estimation; Hestenes’ extension; Estimation in bounded domains; Estimation of discontinuous densities;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
Statistics
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