@article{steetal16,
	abstract = {In this paper, we analyze methods for estimating the density of a conditional expectation. We compare an estimator based on a straightforward application of kernel density estimation to a bias-corrected estimator that we propose. We prove convergence results for these estimators and show that the bias-corrected estimator has a superior rate of convergence. In a simulated test case, we show that the bias-corrected estimator performs better in a practical example with a realistic sample size.},
	author = {S. G. Steckley and S. G. Henderson and D. Ruppert and R. Yang and D. W. Apley and J. Staum},
	date-added = {2016-01-10 17:42:37 +0000},
	date-modified = {2017-06-10 15:53:38 +0000},
	journal = {Electronic Journal of Statistics},
	pages = {736--760},
	title = {Estimating the density of a conditional expectation},
	url_paper = {pubs/Steckleyetal2016.pdf},
	volume = {10},
	year = {2016}}

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In a simulated test case, we show that the bias-corrected estimator performs better in a practical example with a realistic sample size.","author":[{"firstnames":["S.","G."],"propositions":[],"lastnames":["Steckley"],"suffixes":[]},{"firstnames":["S.","G."],"propositions":[],"lastnames":["Henderson"],"suffixes":[]},{"firstnames":["D."],"propositions":[],"lastnames":["Ruppert"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Yang"],"suffixes":[]},{"firstnames":["D.","W."],"propositions":[],"lastnames":["Apley"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Staum"],"suffixes":[]}],"date-added":"2016-01-10 17:42:37 +0000","date-modified":"2017-06-10 15:53:38 +0000","journal":"Electronic Journal of Statistics","pages":"736–760","title":"Estimating the density of a conditional expectation","url_paper":"pubs/Steckleyetal2016.pdf","volume":"10","year":"2016","bibtex":"@article{steetal16,\n\tabstract = {In this paper, we analyze methods for estimating the density of a conditional expectation. We compare an estimator based on a straightforward application of kernel density estimation to a bias-corrected estimator that we propose. We prove convergence results for these estimators and show that the bias-corrected estimator has a superior rate of convergence. In a simulated test case, we show that the bias-corrected estimator performs better in a practical example with a realistic sample size.},\n\tauthor = {S. G. Steckley and S. G. Henderson and D. Ruppert and R. Yang and D. W. Apley and J. Staum},\n\tdate-added = {2016-01-10 17:42:37 +0000},\n\tdate-modified = {2017-06-10 15:53:38 +0000},\n\tjournal = {Electronic Journal of Statistics},\n\tpages = {736--760},\n\ttitle = {Estimating the density of a conditional expectation},\n\turl_paper = {pubs/Steckleyetal2016.pdf},\n\tvolume = {10},\n\tyear = {2016}}\n\n","author_short":["Steckley, S. G.","Henderson, S. G.","Ruppert, D.","Yang, R.","Apley, D. 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