Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: bayesian cramer - rao bound for nonlinear filtering with dependent noise processes .
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
The square-root unscented Kalman filter for state and parameter-estimation
comment on " a new method for the nonlinear transformation of means and covariances in filters and estimators " [ with authors ' reply ] .
Distributing the Kalman Filter for Large-Scale Systems
Switching Kalman filters
Gaussian particle filtering
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Information Gain-based Exploration Using Rao-Blackwellized Particle Filters
Nonlinear estimation using cubature quadrature points
On Markov Chain Monte Carlo Methods For Nonlinear And Non-Gaussian State-Space Models
Analysis of fisher information and the Cramer-Rao bound for nonlinear parameter estimation after compressed sensing
Unscented Kalman Filter: Aspects and Adaptive Setting of Scaling Parameter
Kalman filtering over a packet-delaying network: A probabilistic approach
DRAFT — — — An introduction to particle filters
Mean square stability for Kalman filtering with Markovian packet losses
Recurrent Neural Network Training with the Extended Kalman Filter
CoBaFi: collaborative bayesian filtering
Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size
Mutual-Structure for Joint Filtering
The Unscented Particle Filter
Representation Learning over Dynamic Graphs
Mullerian Adenosarcoma of the Female Genital Tract
Are blockchains immune to all malicious attacks
Stealth Dicing Challenges for MEMS Wafer Applications
The unscented Kalman filter for nonlinear estimation