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