Feynman-Kac measures and Interacting Particle systems :
Selected studies on : Stochastic optimization, Regulation of processes, and Optimal control
This webpage presents an overview of resources related to the use of particle methods in optimization problems
Optimal Stopping times problems
Maslov optimization theory
Decision genealogical trees
Sequential Monte Carlo algorithms
Stochastic optimization
Regulation of processes
This list of topics is clearly far from being exhaustive, and it is partially biased towards my work on stochastic particle models, and Maslov optimization theory.
More references and links to this subject can be added on demand. This webpage also contains some articles on the mathematical foundations of particle algorithms, and
sequential Monte Carlo methodology. We also recommend to consult the related webpages
The software BIIPS is a general software developed by the INRIA team ALEA
for bayesian inference with interacting particle systems, a.k.a. Sequential Monte Carlo methods.
A demonstration of the BiiPS software for estimating the stochastic volatility of financial data can be found in
P. Del Moral, B. Rémillard, S. Rubenthaler. Monte Carlo approximations of american option that preserve monotonicity and convexity.
Numerical Methods in Finance (28p.). Springer New York, Series : Proceeding in Mathematics, (to appear 2012).
P. Del Moral, P. Hu, and N. Oudjane. Snell Envelope with path dependent multiplicative optimality criteria,
HAL-INRIA RR 7360 [18p] (2010).
The forthcoming book on numerical methods in Finance also contains new developments on particle
methods and their applications in optimal stopping time problems, including partially observed models :
Numerical Methods in Finance. R. Carmona, P. Del Moral, P. Hu, N. Oudjane. Springer New York, Series : Proceeding in Mathematics, (460p.) (to appear 2012).
Maslov optimization theory
Maslov Optimization Theory: Optimality Versus Randomness.
(P. Del Moral); Appendix of the book : Idempotency Analysis and its Applications,
V.N. Kolokoltsov and V.P. Maslov, pages 243-302, Volume 401, Kluwer Academic
Publishers, Dordrecht/Boston/London, Mathematics and its Applications (1997).
Maslov Optimization Theory : Stochastic Interpretation, Particle Resolution.
(Del Moral P., Noyer J.C. and Salut G.); Proceedings XI Conf. Internationale sur l'analyse et l'optimisation des systèmes,
Ecole des mines, Sophia Antipolis.
Lecture Note in Control and Information Sciences 199. Springer-Verlag, 312-318 (1995).
Sequential Monte Carlo Samplers (Del Moral P., Doucet A., Jasra A)
Journal of the Royal Society of Statistics, Series B. vol. 68, No. 3, pp. 411-436 (2006).