Estimating mixture models in consumer segmentation
Mixture models are used in many fields to identify different sources of uncertainty. Market demand is an accumulation of each individuals' choice probabilities. Consumers with different preferences will be have different choice models. It is thus required to estimate the underlying choice model...
Saved in:
Main Author: | Muhammad Hafiz Mohd Aziz |
---|---|
Other Authors: | Yan Zhenzhen |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156310 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances
by: Dechavudh Nityasuddhi, et al.
Published: (2018) -
The jackknife-like method for assessing uncertainty of point estimates for bayesian estimation in a finite gaussian mixture model
by: Kuntalee Chaisee
Published: (2018) -
High dimensional clustering for mixture models
by: Liu, Yiming
Published: (2020) -
Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
by: Yang, Xiangyu
Published: (2008) -
A Markov-Switching Model with Mixture Distribution Regimes
by: Paravee Maneejuk, et al.
Published: (2018)