Bayesian Non- and Semi-parametric Methods and Applications:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Princeton
Princeton University Press
2014
|
| Series: | The Econometric and Tinbergen Institutes Lectures
|
| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-473 DE-739 Volltext |
| Item Description: | Description based upon print version of record This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number |
| Physical Description: | 1 Online-Ressource (219 p) |
| ISBN: | 9781400850303 |
| DOI: | 10.1515/9781400850303 |
Staff View
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Record in the Search Index
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| illustrated | Not Illustrated |
| indexdate | 2025-02-18T15:07:34Z |
| institution | BVB |
| isbn | 9781400850303 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028125109 |
| oclc_num | 875634905 875686973 |
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| physical | 1 Online-Ressource (219 p) |
| psigel | ZDB-23-DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DGG UBG_PDA_DGG ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 2014 |
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| publisher | Princeton University Press |
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| series2 | The Econometric and Tinbergen Institutes Lectures |
| spelling | Rossi, Peter Verfasser aut Bayesian Non- and Semi-parametric Methods and Applications Princeton Princeton University Press 2014 1 Online-Ressource (219 p) txt rdacontent c rdamedia cr rdacarrier The Econometric and Tinbergen Institutes Lectures Description based upon print version of record This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number Nichtparametrisches Verfahren (DE-588)4339273-8 gnd rswk-swf Semiparametrisches Verfahren (DE-588)7576374-6 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd rswk-swf Bayes-Entscheidungstheorie (DE-588)4144220-9 s Nichtparametrisches Verfahren (DE-588)4339273-8 s Semiparametrisches Verfahren (DE-588)7576374-6 s 1\p DE-604 https://doi.org/10.1515/9781400850303 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Rossi, Peter Bayesian Non- and Semi-parametric Methods and Applications Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Semiparametrisches Verfahren (DE-588)7576374-6 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| subject_GND | (DE-588)4339273-8 (DE-588)7576374-6 (DE-588)4144220-9 |
| title | Bayesian Non- and Semi-parametric Methods and Applications |
| title_auth | Bayesian Non- and Semi-parametric Methods and Applications |
| title_exact_search | Bayesian Non- and Semi-parametric Methods and Applications |
| title_full | Bayesian Non- and Semi-parametric Methods and Applications |
| title_fullStr | Bayesian Non- and Semi-parametric Methods and Applications |
| title_full_unstemmed | Bayesian Non- and Semi-parametric Methods and Applications |
| title_short | Bayesian Non- and Semi-parametric Methods and Applications |
| title_sort | bayesian non and semi parametric methods and applications |
| topic | Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Semiparametrisches Verfahren (DE-588)7576374-6 gnd Bayes-Entscheidungstheorie (DE-588)4144220-9 gnd |
| topic_facet | Nichtparametrisches Verfahren Semiparametrisches Verfahren Bayes-Entscheidungstheorie |
| url | https://doi.org/10.1515/9781400850303 |
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