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matlab/particle/sequential_importance_particle_filter.m

 function [LIK,lik] = sequential_importance_particle_filter(ReducedForm,Y,start,DynareOptions)
 % Evaluates the likelihood of a nonlinear model with a particle filter (optionally with resampling).
-
+% Standard Sequential Monte Carlo approach with 
+%    - the usual proposal (the state transition distribution)
+%    - options on resampling: none, adaptive or systematic 
 %@info:
 %! @deftypefn {Function File} {@var{y}, @var{y_} =} sequential_importance_particle_filter (@var{ReducedForm},@var{Y}, @var{start}, @var{DynareOptions})
 %! @anchor{particle/sequential_importance_particle_filter}