Archive for particle degeneracy

multinomial resampling by Metropolis

Posted in Books, Statistics with tags , , , , , on December 28, 2017 by xi'an

A few years ago Lawrence Murray wrote a note on accelerating the resampling stage in particle filters by using a Metropolis step. And GPUs. The notion that Metropolis can be applied in this setting is at first puzzling since exact multinomial sampling is available. And Metropolis requires convergence guarantees. Which Lawrence covers by a Raftery and Lewis assessment, which has severe limitations in general but may well be adequate for this very case, although possibly too conservative in the number of recommended Metropolis iterations. The gain brought by Metropolis is that it does not require summing up all the particle weights, and as a result the gain is real in that Metropolis beats all other approaches (time-wise) when the number of particles is not too large and the heterogeneity of the weighs not too  high. (I did not know of this note until Richard Everitt brought it to my attention.)