On sequential simulation-based methods for Bayesian filtering 论文
1998OpenGrey (Institut de l'Information Scientifique et Technique)引用 397
Target Tracking and Data Fusion in Sensor NetworksGaussian Processes and Bayesian InferenceMarkov Chains and Monte Carlo Methods
摘要
Abstract. In this report, we present an overview of sequential simulationbased methods for Bayesian filtering of nonlinear and non-Gaussian dynamic models. It includes in a general framework numerous methods proposed independently in various areas of science and proposes some original developments.