A data-driven method for pricing with mixed choice model
The mixed choice model is a popular choice model to simulate consumer choice in many domains. This paper aims to investigate the pricing problem with mixed choice model. The mixed logit model estimation and marginal distribution model (MDM) estimation methods are carefully studied and implemented in...
Saved in:
Main Author: | Ng, Jia Qi |
---|---|
Other Authors: | Yan Zhenzhen |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156917 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A data-driven optimization method for bundle pricing
by: Lee, Xin Qi
Published: (2022) -
Demand estimation and bundle price optimization : a data-driven approach
by: Lin, Ziwen
Published: (2019) -
Data-driven learning models for protein folding analysis
by: Tedja, Erika
Published: (2021) -
Capital asset pricing model with interval data
by: Sutthiporn Piamsuwannakit, et al.
Published: (2018) -
Capital asset pricing model with interval data
by: Sutthiporn Piamsuwannakit, et al.
Published: (2018)