EstimatorSettings([efficient, randomize, ...]) |
Object to specify settings for density estimation or regression. |
KDEMultivariate(data, var_type[, bw, defaults]) |
Multivariate kernel density estimator. |
KDEMultivariateConditional(endog, exog, ...) |
Conditional multivariate kernel density estimator. |
KDEUnivariate(endog) |
Univariate Kernel Density Estimator. |
KernelCensoredReg(endog, exog, var_type, ...) |
Nonparametric censored regression. |
KernelReg(endog, exog, var_type[, reg_type, ...]) |
Nonparametric kernel regression class. |