Optimal Estimation and Cramér-Rao Bounds for Partial Non-Gaussian State Space Models

By Niclas Bergman, Arnaud Doucet, Neil J. Gordon. 2001

49 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ae4decb7b65d73465611991105bf6a3c69a33118

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Arnaud Doucet
2. Nando de Freitas
3. Simon Maskell
4. Dieter Fox
5. Ruben Martinez-Cantin
6. Neil J. Gordon
7. Tim Clapp
8. M. Sanjeev Arulampalam

In Control and Systems Engineering

1. Arnaud Doucet
2. Ruben Martinez-Cantin
3. José A. Castellanos
4. Nando de Freitas
5. Simo Särkkä

Citations in the corpus

• A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002, background): “Instead, it is preferable to propagate different quantities using an information filter when carrying out the backward-time recursion [4].”
• Active Policy Learning for Robot Planning and Exploration under Uncertainty (2007, methodology): “An alternative PCRB approximation method that overcomes this shortcoming, in the context of jump Markov linear (JML) models, was proposed by [36].”