References

Allaire, J. J., J. Cheng, Y. Xie, J. McPherson, W. Chang, J. Allen, H. Wickham, A. Atkins, R. Hyndman, and R. Arslan. 2017. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

DasGupta, A. 2008. Asymptotic Theory of Statistics and Probability. Springer Texts in Statistics. New York: Springer. https://doi.org/10.1007/978-0-387-75971-5.

Devroye, L., and L. Györfi. 1985. Nonparametric Density Estimation. Wiley Series in Probability and Mathematical Statistics: Tracts on Probability and Statistics. New York: John Wiley & Sons, Inc.

Fan, J., and I. Gijbels. 1996. Local Polynomial Modelling and Its Applications. Vol. 66. Monographs on Statistics and Applied Probability. London: Chapman & Hall.

Loader, C. 1999. Local Regression and Likelihood. Statistics and Computing. New York: Springer-Verlag.

Marron, J. S., and M. P. Wand. 1992. “Exact Mean Integrated Squared Error.” Ann. Statist. 20 (2): 712–36.

Nadaraya, E. A. 1964. “On Estimating Regression.” Teor. Veroyatnost. I Primenen 9 (1): 157–59.

Parzen, E. 1962. “On Estimation of a Probability Density Function and Mode.” Ann. Math. Statist. 33 (3): 1065–76.

R Core Team. 2017. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Rosenblatt, M. 1956. “Remarks on Some Nonparametric Estimates of a Density Function.” Ann. Math. Statist. 27 (3): 832–37.

Ruppert, D., and M. P. Wand. 1994. “Multivariate Locally Weighted Least Squares Regression.” Ann. Statist. 22 (3): 1346–70. https://doi.org/10.1214/aos/1176325632.

Scott, D. W. 2015. Multivariate Density Estimation. Second. Wiley Series in Probability and Statistics. Hoboken: John Wiley & Sons, Inc.

Scott, D. W., and G. R. Terrell. 1987. “Biased and Unbiased Cross-Validation in Density Estimation.” J. Am. Stat. Assoc. 82 (400): 1131–46.

Sheather, S. J., and M. C. Jones. 1991. “A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation.” J. Roy. Statist. Soc. Ser. B 53 (3): 683–90.

Silverman, B. W. 1986. Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability. London: Chapman & Hall.

van der Vaart, A. W. 1998. Asymptotic Statistics. Vol. 3. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511802256.

Wand, M. P., and M. C. Jones. 1995. Kernel Smoothing. Vol. 60. Monographs on Statistics and Applied Probability. London: Chapman & Hall, Ltd. https://doi.org/10.1007/978-1-4899-4493-1.

Wasserman, L. 2004. All of Statistics. Springer Texts in Statistics. New York: Springer-Verlag. https://doi.org/10.1007/978-0-387-21736-9.

———. 2006. All of Nonparametric Statistics. Springer Texts in Statistics. New York: Springer. https://doi.org/10.1007/0-387-30623-4.

Watson, G. S. 1964. “Smooth Regression Analysis.” Sankhyā Ser. A 26: 359–72.

Xie, Y. 2015. Dynamic Documents with R and Knitr. The R Series. Boca Raton: Chapman & Hall/CRC.

———. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. The R Series. Boca Raton: Chapman & Hall/CRC. https://bookdown.org/yihui/bookdown/.