A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in High
State estimation of lithium-ion cells using a physicochemical model based extended Kalman filter - ScienceDirect
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
Linear mixed model-writing sample
Estimating model error covariances using particle filters - Zhu - 2018 - Quarterly Journal of the Royal Meteorological Society - Wiley Online Library
Kalman filter - Wikipedia
PDF) Initialization of the Kalman filter without assumptions on the initial state
MA Advanced Macroeconomics: 5. Latent Variables: The Kalman Filter
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
Nonlinear State Estimation of a Degrading Battery System - MATLAB & Simulink - MathWorks Benelux
Error covariance tuning in variational data assimilation: application to an operating hydrological model | SpringerLink
Estimate State-Space Model With Order Selection - MATLAB & Simulink
Kalman Filtering Applied to Induction Motor State Estimation | IntechOpen
Frontiers | Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching | Applied Mathematics and Statistics
Adaptive state space models with applications to the business cycle and financial stress
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
Treating Sample Covariances for Use in Strongly Coupled Atmosphere-Ocean Data Assimilation
Dynamic linear model tutorial
PDF) How To NOT Make the Extended Kalman Filter Fail
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
NLNG: A R PACKAGE FOR STATE SPACE MODELS
A Discontinuous Extended Kalman Filter for Non-Smooth Dynamic Problems M.N. Chatzis a, E.N. Chatzi b and S.P. Triantafyllou a
How a Kalman filter works, in pictures | Bzarg
