*{{cite [http://citeseerx.ist.psu.edu/viewdoc/summary?doijournal |first1=10M.1.1.117.1144 Sanjeev |last1=Arulampalam |first2=Simon |last2=Maskell |first3=Neil |last3=Gordon |title=A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking], |journal=IEEE Transactions on Signal Processing (2001)|volume=50 |issue= |pages=174–188 |year=2002 |doi= |url=http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.1144}}
*{{cite [http://cogprints.org/3755/1/Diard03a.pdfweb |first1=Julien |last1=Diard |first2=Pierre |last2=Bessière |first3=Emmanuel |last3=Mazer |title=A survey of probabilistic models, using the Bayesian Programming methodology as a unifying framework] |date=2003 |publisher=cogprints.org |url=http://cogprints.org/3755/1/Diard03a.pdf |format=PDF}}
* [http://www.math.u-bordeaux1.fr/~delmoral/simulinks.html Feynman-Kac models and interacting particle algorithms (a.k.a. Particle Filtering)] Theoretical aspects and a list of application domains of particle filters
