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https://hdl.handle.net/10356/77144
Title: | Pricing problems with Thompson sampling | Authors: | Lee, Samuel Wai Leong | Keywords: | DRNTU::Science::Mathematics::Statistics | Issue Date: | 2019 | Abstract: | In 1933, William R. Thompson proposed an algorithm known as Thompson sampling in order to maximise culmulative payo in a multi-armed bandit (MAB) problem. MAB problems have been fre- quently used to model real-life decision making scenarios. This pa- per explores the extension of Thompson sampling to other problems beyond the MAB setting. More speci cally, Thompson sampling is applied to product sales using data from a real dataset in a dynamic pricing setting as part of the multi-product pricing problem. | URI: | http://hdl.handle.net/10356/77144 | Schools: | School of Physical and Mathematical Sciences | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SPMS Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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Final report.pdf Restricted Access | 1.25 MB | Adobe PDF | View/Open |
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