floatcsep.extras.binomial_joint_log_likelihood_ndarray(forecast, catalog)[source]

Computes Bernoulli log-likelihood scores, assuming that earthquakes follow a binomial distribution.

  • forecast – Forecast of a Model (Gridded) (Numpy Array) A forecast has to be in terms of Average Number of Events in Each Bin It can be anything greater than zero

  • catalog – Observed (Gridded) seismicity (Numpy Array): An Observation has to be Number of Events in Each Bin It has to be a either zero or positive integer only (No Floating Point)