InstrumentalVariableRegression.logp#

InstrumentalVariableRegression.logp(vars=None, jacobian=True, sum=True)#

Elemwise log-probability of the model.

Parameters:
  • vars (list of random variables or potential terms, optional) – Compute the gradient with respect to those variables. If None, use all free and observed random variables, as well as potential terms in model.

  • jacobian (bool) – Whether to include jacobian terms in logprob graph. Defaults to True.

  • sum (bool) – Whether to sum all logp terms or return elemwise logp for each variable. Defaults to True.

Return type:

Logp graph(s)