VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces the fundamentals and advanced topics of statistics from its modeling, analysis and inference that covers multivariate distribution along with dimension-reduction techniques, concentration inequalities, classification/clustering, to applications in statistical signal processing, including estimation theory and methods, detection theory and methods, and advanced algorithms such as Markov Chain Monte Carlo (MCMC) and expectation maximization (EM), etc. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6088) | We 06:30PM - 09:20PM | Rm 150, E1 | GONG, Zijun XING, Hong | 30 | 9 | 21 | 0 |