1. The mean field particle approximation of the filtering problem is far from being unique. 2. There are different methods to perform a Monte Carlo integration, such as and mean field particle methods. 3. These nonlinear Markov processes and their mean field particle interpretation can be extended to interacting jump-diffusion processes 4. In fact in this theory an equivalent representation of field is a field particle , namely a boson. 5. The static high voltage method is contrasted with the dynamic fields used in oscillating field particle accelerators. 6. From the probabilistic point of view they coincide with a mean field particle interpretation of the nonlinear filtering equation. 7. "' Interacting MCMC methodologies "'are a class of mean field particle methods for obtaining genetic particle algorithm with MCMC mutations. 8. 1984 _ Carlo Rubbia, Italy; Simon van der Meer, Netherlands, for contributions to discovery of field particles involved in weak interaction. 9. One natural way to approximate these evolution equations is to reduce sequentially the state space using a mean field particle model. 10. 1984 : Carlo Rubbia, Italy; Simon van der Meer, Netherlands, for contributions to discovery of field particles involved in weak interaction.
