Explore how to transform discrete observations into continuous functions for advanced analysis, covering everything from foundational Hilbert space theory to practical applications like clustering stock market data and estimating parameters for dynamic systems.
quantitative-finance functional-data-analysis fourier-series ode-solver b-splines runge-kutta-methods lagrange-polynomial-interpolation levenberg-marquardt-algorithm fitzhugh-nagumo hierarchical-agglomerative-clustering generalized-profiling
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Updated
Sep 10, 2025 - R