scoringrules.logs_loglaplace

scoringrules.logs_loglaplace(obs: ArrayLike, locationlog: ArrayLike, scalelog: ArrayLike, *, backend: Backend = None) → ArrayLike

Compute the logarithmic score (LS) for the log-Laplace distribution.

This score is equivalent to the negative log likelihood of the log-Laplace distribution

Parameters:

obsarray_like

Observed values.

locationlogarray_like

Location parameter of the forecast log-laplace distribution.

scalelogarray_like

Scale parameter of the forecast log-laplace distribution.

Returns:

scorearray_like

The LS between obs and Loglaplace(locationlog, scalelog).

Examples

>>> import scoringrules as sr
>>> sr.logs_loglaplace(3.0, 0.1, 0.9)