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<meta name="description" content="A comprehensive overview of Functional Data Analysis (FDA), covering foundational concepts like Hilbert spaces, basis function expansions (Fourier, B-splines), smoothing, and applications in clustering and differential equations.">
<meta name="keywords" content="Functional Data Analysis, FDA, R Programming, B-splines, Lagrange Polynomials, Fourier Series, Hierarchical Agglomerative Clustering , Levenberg–Marquardt algorithm, Runge-Kutta Methods, Generalized Profiling">
<meta name="author" content="Vadim Tyuryaev">
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<meta property="og:title" content="Functional Data Analysis">
<meta property="og:description" content="Explore Functional Data Analysis from first principles. This guide covers basis functions, smoothing, functional clustering, and parameter estimation for ODEs with detailed R code and visualizations.">
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<meta property="og:url" content="https://vadimtyuryaev.github.io/Functional-Data-Analysis">
<meta property="og:site_name" content="Vadim Tyuryaev’s Statistical Blog">
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