Research areas
- Gaussian mixture reduction for recursive Bayesian filters
- Multi-hypothesis tracking and data association
- Information-theoretic approximation of probability densities
- switching-state-estimation
Key papers
- runnalls-kl-gaussian-mixture-reduction — A Kullback-Leibler Approach to Gaussian Mixture Reduction (IEEE Trans. Aerospace and Electronic Systems, 2007). Canonical reference for closed-form KL-bound greedy pairwise GMR.
Recent work
- (Empty — page was created from a single seed paper.)
Collaborators
- (Unknown — to be filled as more of his work is ingested.)
My notes
Runnalls is the original author of the closed-form KL upper bound that became the standard greedy GMR criterion after 2007. The 2007 paper is the only piece of his work currently in the wiki, but the bound itself is reused and refined in essentially every subsequent serious GMR paper, so this page is likely to accumulate citations rather than original work over time.