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Journal of the American Statistical Association Volume 92, 1997 - Issue 440
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Theory and Methods

Nonlinearly Smoothed EM Density Estimation with Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems

P. P. B. Eggermont Department of Mathematical Sciences, University of Delaware, Newark, DE, 19716, USA
&
V. N. Lariccia Department of Mathematical Sciences, University of Delaware, Newark, DE, 19716, USA
Pages 1451-1458 | Received 01 Jul 1994, Published online: 17 Feb 2012

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Cong Chen, Wayne A. Fuller & F. Jay Breidt. (2003) Spline Estimators of the Density Function of a Variable Measured with Error. Communications in Statistics - Simulation and Computation 32:1, pages 73-86.
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Andre Acusta, Paul Eggermont & Vincent Lariccia. (2003) An em algorithm for density estimation with randomly censored data. Journal of Statistical Computation and Simulation 73:3, pages 223-232.
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Cong Chen, Wayne A. Fuller & F. Jay Breidt. (2000) A semiparametric estimator of the distribution function of a variable measured with error. Communications in Statistics - Theory and Methods 29:5-6, pages 1293-1310.
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Articles from other publishers (6)

Minwoo Chae, Ryan Martin & Stephen G. Walker. (2018) Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution. Statistics & Probability Letters 140, pages 142-146.
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Sungho Lee. (2014) A note on nonparametric density deconvolution by weighted kernel estimators. Journal of the Korean Data and Information Science Society 25:4, pages 951-959.
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J. G. Liao, T. Mcmurry & A. Berg. (2013) Prior robust empirical Bayes inference for large-scale data by conditioning on rank with application to microarray data. Biostatistics 15:1, pages 60-73.
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MARTIN L. HAZELTON & BERWIN A. TURLACH. (2010) Semiparametric Density Deconvolution. Scandinavian Journal of Statistics 37:1, pages 91-108.
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Martin L. Hazelton & Berwin A. Turlach. (2008) Nonparametric density deconvolution by weighted kernel estimators. Statistics and Computing 19:3, pages 217-228.
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P.B. Eggermont & V.N. LaRiccia. (1999) Best asymptotic normality of the kernel density entropy estimator for smooth densities. IEEE Transactions on Information Theory 45:4, pages 1321-1326.
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