Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.]
In the following prototype it has been suggested a Bayesian approach to fuzzy clustering analysis - the Bayesian fuzzy regression. Bayesian Posterior Odds analysis is employed to select the correct number of clusters for the fuzzy regression analysis. In this study, we use a natural conjugate prior...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Book Section |
| Language: | en |
| Published: |
Division of Research, Industrial Linkages and Alumni, UiTM Cawangan Melaka
2013
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/80512/1/80512.pdf https://ir.uitm.edu.my/id/eprint/80512/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833077422904311808 |
|---|---|
| author | Md Razak, Mohamad Idham Omar, Roaimah Mohammad Amin, Nor Azizah Norhisham, Norshiba |
| author_facet | Md Razak, Mohamad Idham Omar, Roaimah Mohammad Amin, Nor Azizah Norhisham, Norshiba |
| author_sort | Md Razak, Mohamad Idham |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In the following prototype it has been suggested a Bayesian approach to fuzzy clustering analysis - the Bayesian fuzzy regression. Bayesian Posterior Odds analysis is employed to select the correct number of clusters for the fuzzy regression analysis. In this study, we use a natural conjugate prior for the parameters, and we find that the Bayesian Posterior Odds provide a very powerful tool for choosing the number of clusters. The results from a Hedonic Pricing Strategy experiment and two real data applications of Bayesian fuzzy regression are very encouraging. Recent developments in econometric modelling have emphasized a variety of non-linear specifications. Parametric examples of these include various regime-switching models (the threshold and Markov switching autoregressive models): threshold autoregressive (TAR) models, self-exciting threshold autoregressive (SETAR) models, smoothing threshold autoregressive (STAR) models, and various others. In addition, non-parametric and semi-parametric models are widely used, though the well-known "curse of dimensionality" can place some limitations on their use with multivariate data. The use of fuzzy clustering analysis in the context of econometric modelling is a rather new approach within the class of nonlinear econometric models. |
| format | Book Section |
| id | my.uitm.ir-80512 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2013 |
| publisher | Division of Research, Industrial Linkages and Alumni, UiTM Cawangan Melaka |
| record_format | eprints |
| spelling | my.uitm.ir-805122023-11-22T03:09:57Z https://ir.uitm.edu.my/id/eprint/80512/ Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] Md Razak, Mohamad Idham Omar, Roaimah Mohammad Amin, Nor Azizah Norhisham, Norshiba Integer programming In the following prototype it has been suggested a Bayesian approach to fuzzy clustering analysis - the Bayesian fuzzy regression. Bayesian Posterior Odds analysis is employed to select the correct number of clusters for the fuzzy regression analysis. In this study, we use a natural conjugate prior for the parameters, and we find that the Bayesian Posterior Odds provide a very powerful tool for choosing the number of clusters. The results from a Hedonic Pricing Strategy experiment and two real data applications of Bayesian fuzzy regression are very encouraging. Recent developments in econometric modelling have emphasized a variety of non-linear specifications. Parametric examples of these include various regime-switching models (the threshold and Markov switching autoregressive models): threshold autoregressive (TAR) models, self-exciting threshold autoregressive (SETAR) models, smoothing threshold autoregressive (STAR) models, and various others. In addition, non-parametric and semi-parametric models are widely used, though the well-known "curse of dimensionality" can place some limitations on their use with multivariate data. The use of fuzzy clustering analysis in the context of econometric modelling is a rather new approach within the class of nonlinear econometric models. Division of Research, Industrial Linkages and Alumni, UiTM Cawangan Melaka 2013 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/80512/1/80512.pdf Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.]. (2013) In: Optimizing Innovation for Global Commercialization Research, Invention, Innovation Design: RIID 2013. Division of Research, Industrial Linkages and Alumni, UiTM Cawangan Melaka, Alor Gajah, Melaka, p. 63. ISBN 978-967-0637-02-0 (Submitted) |
| spellingShingle | Integer programming Md Razak, Mohamad Idham Omar, Roaimah Mohammad Amin, Nor Azizah Norhisham, Norshiba Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title | Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title_full | Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title_fullStr | Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title_full_unstemmed | Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title_short | Application of Bayesian fuzzy regression analysis and model selection on Hedonic Pricing Strategy / Mohamad Idham Md Razak … [et al.] |
| title_sort | application of bayesian fuzzy regression analysis and model selection on hedonic pricing strategy / mohamad idham md razak … [et al.] |
| topic | Integer programming |
| url | https://ir.uitm.edu.my/id/eprint/80512/1/80512.pdf https://ir.uitm.edu.my/id/eprint/80512/ |
| url_provider | http://ir.uitm.edu.my/ |