statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.loo_likelihood¶
-
KDEMultivariateConditional.
loo_likelihood
(bw, func=<function KDEMultivariateConditional.<lambda>>)[source]¶ Returns the leave-one-out conditional likelihood of the data.
If func is not equal to the default, what’s calculated is a function of the leave-one-out conditional likelihood.
Parameters: bw: array_like
The bandwidth parameter(s).
func: callable, optional
Function to transform the likelihood values (before summing); for the log likelihood, use
func=np.log
. Default isf(x) = x
.Returns: L: float
The value of the leave-one-out function for the data.
Notes
Similar to
KDE.loo_likelihood`, but substitute ``f(y|x)=f(x,y)/f(y)
forf(x)
.