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3.8 Further reading and notes
Chui, C. K. (1992) An Introduction to Wavelets. San Diego: Academic Press.
Daubechies, I. (1992) Ten Lectures on Wavelets. CBMS-NSF Series in Applied Mathematics, 61. Philadelphia: Society for Industrial and Applied Mathematics.
de Boor, C. (2001) A Practical Guide to Splines. Revised Edition. New York: Springer.
Donoho, D. L., Johnstone, I. M., Kerkyacharian, G. and Picard, D. (1995) Wavelet shrinkage: asymptopia? (with discussion). Journal of the Royal Statistical Society, Series B, 57, 301–369.
Eubank, R. L. (1999) Spline Smoothing and Nonparametric Regression, Second Edition. New York: Marcel Dekker.
Green, P. J. and Silverman, B. W. (1994) Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach. London: Chapman and Hall.
Johnstone, I. M. and Silverman, B. W. (1997) Wavelet threshold estimators for data with correlated noise. Journal of the Royal Statistical Society, Series B, 59, 319–351.
Nason, G. P. and Silverman, B. W. (1994) The discrete wavelet transform in S. Journal of Computational and Graphical Statistics, 3, 163–191.
Schumaker, L. (1981) Spline Functions: Basic Theory. New York: Wiley.
Silverman, B. W. (1999) Wavelets in statistics: Beyond the standard assumptions. Philosophical Transactions of the Royal Society of London, Series A. 357, 2459–2473.
Silverman, B. W. and Vassilicos, J. C. (1999) Wavelets: The key to intermittent information? Philosophical Transactions of the Royal Society of London, Series A. 357, 2393–2395.
Simonoff, J. S. (1996) Smoothing Methods in Statistics. New York: Springer.
Wahba, G. (1990) Spline Models for Observational Data. Philadelphia: Society for Industrial and Applied Mathematics.
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(2005). From functional data to smooth functions. In: Functional Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22751-2_3
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