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 |