Forward modeling and inverse estimation for nonlinear filtering

Cites Work

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Bayesian estimation of Dirichlet mixture model with variational inference
Design and implementation of Gaussian filter for nonlinear system with randomly delayed measurements and correlated noises
A Gaussian approximation recursive filter for nonlinear systems with correlated noises
High-degree cubature Kalman filter
Sparse-grid quadrature nonlinear filtering
Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: the uncertain probabilities case
Complete offline tuning of the unscented Kalman filter
Gaussian filter for nonlinear systems with one-step randomly delayed measurements
Measurement Random Latency Probability Identification
Nonlinear Gaussian Smoothers With Colored Measurement Noise
A new method for the nonlinear transformation of means and covariances in filters and estimators
Variational Bayesian Adaptive Cubature Information Filter Based on Wishart Distribution
A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
Approximate Inference in State-Space Models With Heavy-Tailed Noise
Posterior Linearization Filter: Principles and Implementation Using Sigma Points
Distributed Variational Bayesian Algorithms Over Sensor Networks
Nonlinear Kalman Filtering With Divergence Minimization
Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
Cubature Kalman Filters
The iterated Kalman filter update as a Gauss-Newton method
New developments in state estimation for nonlinear systems

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