1. Andrieu, Ch., M. Davy and A. Doucet (2001). Improved auxiliary particle filtering: Applications to time-varying spectral analysis. IEEE Workshop on Statistical Signal Processing.
2. Monte Carlo Methods in Practise,2001
3. Adapting the sample size in particle filters through KLD-sampling;Fox;International Journal of Robotics Research,2003
4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation;Gordon;IEE proceedings-F,1993
5. Koller, D. and R. Fratkina (1998). Using learning for approximation in stochastic processes. In: Proc. 15th International Conf. on Machine Learning. Morgan Kaufmann, San Francisco, CA. pp. 287-295.