The session covered several example applications of the Kalman filter and parameter estimation via maximum likelihood. Participants presented their own problems and ideas. This was the final session of the workshop.
[Read More]Session 2. Learning
The session covered the update step of the algorithm as shown in the sessions structure.
[Read More]Session 1. Modelling
The session covered the prediction step of the algorithm as shown in the sessions structure.
[Read More]Session 3. Applications
The session covered several example applications of the Kalman filter and parameter estimation via maximum likelihood. Participants presented their own problems and ideas. This was the final session of the workshop.
[Read More]Session 2. Learning
The session covered the update step of the algorithm as shown in the sessions structure.
[Read More]Session 1. Modelling
The session covered the prediction step of the algorithm as shown in the sessions structure.
[Read More]