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Importance sampling is a popular method for efficient computation of various properties of a distribution such as probabilities, expectations, quantiles etc.
A Weak Convergence Approach to the Theory of Large Deviations
P. Dupuis and R. S. Ellis · 1997
Earlier work this paper cites.
Large Deviations Techniques and Applications
A. Dembo and O. Zeitouni · 1998
Earlier work this paper cites.
Importance sampling, large deviations and differential games
P. Dupuis and H. Wang · 2004
Earlier work this paper cites.
Genealogical particle analysis of rare events
P. Del Moral and J. Garnier · 2005
Earlier work this paper cites.
Stochastic Simulation: Algorithms and Analysis
S. Asmussen and P. W. Glynn · 2007
Cited alongside, same era.
Subsolutions of an Isaacs equation and efficient schemes for importance sampling
P. Dupuis and H. Wang · 2007
Cited alongside, same era.
Splitting for rare event simulation: a large deviation approach to design and analysis
T. Dean and P. Dupuis · 2009
Cited alongside, same era.
Rare event simulation using Monte Carlo methods
G. Rubino and B.Tuffin, editors · 2009
Later among the works it cites.
Analysis of an interacting particle method for rare event estimation
P. Dupuis and Y. Cai · 2013
Closest in time.
Large deviations for bootstrapped empirical measures
J. Trashorras and O. Wintenberger · 2014
Closest in time.
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