Quantitative Decision Analysis - 096328
Will not be given the year
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Lecture |
Exercise |
Laboratory |
Project or
Seminar |
House
Work |
Weekly
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3 |
1 |
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Determination of the grade according to progress during the semester and the submission of the final thesis
We Will Study Decision Problems with Various Information Constraints Motivated by Numerous Classical and Modern Applications Such as Network Routing, Portfolio Selection, Inventory Management and Signal Denoising. the Course Will Present and Contrast the Statistical and Game Theoretic Models for Decision Making. in Addition, We Will Emphasize Algorithmic Aspects and Computational Efficiency, Which Are Crucial for Applications.
Textbooks| Published | Publisher | Authors | Book |
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| 2006 | cambridge university press | cesa- bianchi and lugosi | prediction, learning and games |
Created in 08/03/2021 Time 14:44:45
