Machine Learning for Forecasting and Data Assimilation

De Brian Hunt

• Bayesian inference in high-dimensional models
• large scale machine learning
• data assimilation
• model error
• data-driven forecast
• reservoir computing
• continuous-time Jaeger ESN
• forecasting with feedback
• generalized synchronization
• Kuramoto-Sivashinsky PDE
• hybrid forecast