Abstract
For observational data, (1.5) of Example 1.2 defines penalized likelihood density estimation. Of interest are the selection of smoothing parameters, the computation of the estimates, and the asymptotic behavior of the estimates. Variants of (1.5) are also called for to accommodate data subject to selection bias and data from conditional distributions.
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© 2002 Springer Science+Business Media New York
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Gu, C. (2002). Probability Density Estimation. In: Smoothing Spline ANOVA Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3683-0_6
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DOI: https://doi.org/10.1007/978-1-4757-3683-0_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2966-2
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