Recursive Bayesian estimation using piece-wise constant approximations

Sequential Monte Carlo Methods to Train Neural Network Models

Neural Computation

Monte Carlo sampling methods for approximating interactive POMDPs

Journal of Artificial Intelligence Research

The unscented Kalman filtering in extended noise environments

ACC'09 Proceedings of the 2009 conference on American Control Conference

Truncation nonlinear filters for state estimation with nonlinear inequality constraints

Automatica (Journal of IFAC)

Monte Carlo filters for non-linear state estimation

Automatica (Journal of IFAC)

Advanced point-mass method for nonlinear state estimation

Automatica (Journal of IFAC)

Performance evaluation of UKF-based nonlinear filtering

Automatica (Journal of IFAC)

Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling

Computational Statistics & Data Analysis

Efficient grid-based Bayesian estimation of nonlinear low-dimensional systems with sparse non-Gaussian PDFs

Automatica (Journal of IFAC)

Nonparametric particle filtering approaches for identification and inference in nonlinear state-space dynamic systems

Statistics and Computing