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Table 1 Naming convention for the MIS estimators in this paper. We will drop the superindex 1 from primary estimators when not strictly necessary

From: Multiple importance sampling revisited: breaking the bounds

F

Generic multi-sample MIS estimator

\({\mathcal {F}}\)

Generic one-sample MIS estimator

\({\mathcal {F}}^{1}\)

Generic one-sample MIS primary estimator

\(\hat {F}\)

Generic multi-sample MIS balance heuristic

 

estimator

\(\hat {\mathcal {F}}\)

Generic one-sample MIS balance heuristic

 

estimator

Feq, \({\mathcal {F}}_{{\text {eq}}}\), \({\mathcal {F}}^{1}_{{\text {eq}}}\), \(\hat {F}_{{\text {eq}}}\), \(\hat {\mathcal {F}}_{{\text {eq}}}\)

Equal count of samples estimators