P. Ecuyer and B. Tuffin, Approximating Zero-Variance Importance Sampling in a Reliability Setting, Annals of Operations Research, vol.189, pp.277-297, 2011.

P. W. Glynn, M. K. Nakayama, and B. Tuffin, On the estimation of the mean time to failure by simulation, the Proceedings of the 2017 Winter Simulation Conference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01551078

P. W. Glynn, M. K. Nakayama, and B. Tuffin, Using Simulation to Calibrate Exponential Approximations to Tail-Distribution Measures of Hitting Times to Rarely Visited Sets, the Proceedings of the 2018 Winter Simulation Conference, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01785210

, Rare Event Simulation using Monte Carlo Methods, 2009.

P. Ecuyer, J. Blanchet, B. Tuffin, and P. W. Glynn, Asymptotic Robustness of Estimators in Rare-Event Simulation, ACM Transactions on Modeling and Computer Simulation, vol.20, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00169935

P. Ecuyer, V. Demers, and B. Tuffin, Rare Events, Splitting, and Quasi-Monte Carlo, ACM Transactions on Modeling and Computer Simulation, vol.17, issue.2, 2007.

P. Ecuyer and B. Tuffin, Approximate Zero-Variance Simulation, Proceedings of the 2008 Winter Simulation Conference, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00789623