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silverman-rule

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esosetrov / kernel_density_estimation_kde

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Kernel Density Estimation (KDE) in Python. Explore theory, implementation, bandwidth optimization, kernel functions, and practical applications with statsmodels and scipy.

kde cross-validation density-visualization density-estimation kernel-functions kernel-density-estimation gaussian-kernel probability-density statistical-modeling nonparametric-statistics bias-variance-tradeoff bandwidth-selection data-smoothing statistical-estimation histogram-alternative silverman-rule epanechnikov-kerne integrated-squared-error
  • Updated Dec 17, 2025
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