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static KDEUnivariate.entropy()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kde.KDEUnivariate.entropy

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KernelReg.fit()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_regression.KernelReg.fit

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KernelReg.r_squared()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_regression.KernelReg.r_squared

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KDEMultivariateConditional.cdf()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.cdf

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nonparametric.kernel_regression.KernelReg()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_regression.KernelReg

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nonparametric.bandwidths.bw_scott()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.bandwidths.bw_scott statsmodels

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KDEMultivariateConditional.loo_likelihood()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.loo_likelihood

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KernelCensoredReg.cv_loo()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_regression.KernelCensoredReg.cv_loo

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KernelCensoredReg.aic_hurvich()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kernel_regression.KernelCensoredReg.aic_hurvich

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static KDEUnivariate.sf()
  • References/Python/Statsmodels/Nonparametric Methods

statsmodels.nonparametric.kde.KDEUnivariate.sf static

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