Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models

Joaquín Míguez, Inés P. Mariño, Manuel A. Vázquez

Abstract: Highlights•We analyse an adaptive importance sampler for inference in state-space models.•We prove that the method enjoys the exact approximation property.•We illustrate the theory with computer simulations for a target tracking problem.