Work

On sequential simulation-based methods for Bayesian filtering

Year: 1998

Type: article

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.

Authors: Doucet, A., Cambridge Univ. (United Kingdom). Dept. of Engineering

Institution: Microsoft (United States)

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1561837455

FWCI: 12.1

Cites: 15

Cited by: 402

Related to: 10