Subject: Subject Sylbus: Quantitative Decision Analysis - 096328

Quantitative Decision Analysis - 096328
Will not be given the year
Credit
Points
3.5
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
3 1      

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
PublishedPublisherAuthorsBook
2006cambridge university presscesa- bianchi and lugosiprediction, learning and games

Created in 08/03/2021 Time 14:44:45