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Use jax.grad to implement a generic extended Kalman filter for linear dynamical systems with linear Gaussian dynamics and nonlinear/non-Gaussian emissions. See chapter 18.5 of Probabilistic Machine Learning by Murphy (2012).
To implement the EKF, we will need the unconstrained parameters of a model. See #32
The text was updated successfully, but these errors were encountered:
Use
jax.grad
to implement a generic extended Kalman filter for linear dynamical systems with linear Gaussian dynamics and nonlinear/non-Gaussian emissions. See chapter 18.5 of Probabilistic Machine Learning by Murphy (2012).To implement the EKF, we will need the unconstrained parameters of a model. See #32
The text was updated successfully, but these errors were encountered: