Evaluating PcGets and RETINA as Automatic Model Selection Algorithms.
The paper describes two automatic model selection algorithms, RETINA and PcGets, briefly discussing how the algorithms work and what their performance claims are. RETINA's Matlab implementation of the code is explained, then the program is compared with PcGets on the data in Perez-Amaral, Gallo...
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| Format: | Journal article |
| Language: | English |
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Blackwell Publishing
2005
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| _version_ | 1826274749809950720 |
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| author | Castle, J |
| author_facet | Castle, J |
| author_sort | Castle, J |
| collection | OXFORD |
| description | The paper describes two automatic model selection algorithms, RETINA and PcGets, briefly discussing how the algorithms work and what their performance claims are. RETINA's Matlab implementation of the code is explained, then the program is compared with PcGets on the data in Perez-Amaral, Gallo and White (2005, Econometric Theory, Vol. 21, pp. 262-277), "A Comparison of Complementary Automatic Modelling Methods: RETINA and PcGets", and Hoover and Perez (1999, Econometrics Journal, Vol. 2, pp. 167-191), "Data Mining Reconsidered: Encompassing and the General-to-specific Approach to Specification Search". Monte Carlo simulation results assess the null and non-null rejection frequencies of the RETINA and PcGets model selection algorithms in the presence of nonlinear functions. |
| first_indexed | 2024-03-06T22:48:11Z |
| format | Journal article |
| id | oxford-uuid:5de8f204-699e-4dcd-8a8e-57c873d5320b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:48:11Z |
| publishDate | 2005 |
| publisher | Blackwell Publishing |
| record_format | dspace |
| spelling | oxford-uuid:5de8f204-699e-4dcd-8a8e-57c873d5320b2022-03-26T17:37:14ZEvaluating PcGets and RETINA as Automatic Model Selection Algorithms.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5de8f204-699e-4dcd-8a8e-57c873d5320bEnglishDepartment of Economics - ePrintsBlackwell Publishing2005Castle, JThe paper describes two automatic model selection algorithms, RETINA and PcGets, briefly discussing how the algorithms work and what their performance claims are. RETINA's Matlab implementation of the code is explained, then the program is compared with PcGets on the data in Perez-Amaral, Gallo and White (2005, Econometric Theory, Vol. 21, pp. 262-277), "A Comparison of Complementary Automatic Modelling Methods: RETINA and PcGets", and Hoover and Perez (1999, Econometrics Journal, Vol. 2, pp. 167-191), "Data Mining Reconsidered: Encompassing and the General-to-specific Approach to Specification Search". Monte Carlo simulation results assess the null and non-null rejection frequencies of the RETINA and PcGets model selection algorithms in the presence of nonlinear functions. |
| spellingShingle | Castle, J Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title | Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title_full | Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title_fullStr | Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title_full_unstemmed | Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title_short | Evaluating PcGets and RETINA as Automatic Model Selection Algorithms. |
| title_sort | evaluating pcgets and retina as automatic model selection algorithms |
| work_keys_str_mv | AT castlej evaluatingpcgetsandretinaasautomaticmodelselectionalgorithms |