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PDE and Time Series Data Analysis Course by Ha Ha is a document available to read on EtoBox.

This course combines partial differential equation (PDE) approaches and time series modeling for effective real data analysis. Students will learn modern PDE tools and how they relate to time series modeling. They will also learn classical and non-Gaussian time series models, including autoregressive, moving average, seasonal, and heavy-tailed distribution models. Hands-on experiments using MATLAB will allow students to apply these methods and analyze real data from finance and mining industries. The course

Author

Ha Ha

Language

EN