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A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics.
Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, t
Practical Smoothing
Smoothing and Regression
Nonparametric Regression and Spline Smoothing
Bayesian Filtering and Smoothing
Spline and Spline Wavelet Methods with Applications to Signal and Image Processing
Kernel Smoothing
Local Polynomial Modelling and Its Applications
Multivariate Polysplines
Signal Processing Applications Using Multidimensional Polynomial Splines
Sparse Modeling
Stochastic Processes
Dynamic Data Analysis
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