We present an approximation method for discrete time nonlinear filtering in view of solving dynamic optimization problems under partial information...
Keywords: Nonlinear filtering, Markov chain, quantization, stochastic gradient descent, Monte Carlo simulations, partial observation, optimal stopping
03/2005 | Monte Carlo Methods and Applications, Walter de GruyterWe describe new variants of the Euler scheme and of the walk on spheres method for the Monte Carlo computation of Feynman–Kac representations...
Keywords: FeynmanKac formula, simulation schemes, quantization, Poisson equation, sequential Monte Carlo algorithms, stochastic spectral formulation
01/2008 | Monte Carlo Methods and Applications, Walter de Gruyter