Internal analysis and optimization applied to parameter estimation under uncertainty
We present a methodology through exemplification to perform parameter estimation subject to possible factors of uncertainty. The underlying optimization problem is posed in the framework of the theory of interval-valued optimization. The implementation of numerical procedures required to achieve eff...
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Format: | Article |
Language: | English |
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Sociedade Brasileira de Matemática
2018-04-01
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Series: | Boletim da Sociedade Paranaense de Matemática |
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Online Access: | https://periodicos.uem.br/ojs/index.php/BSocParanMat/article/view/29309 |
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author | Jose Daniel Gallego-Posada Maria Eugenia Puerta-Yepes |
author_facet | Jose Daniel Gallego-Posada Maria Eugenia Puerta-Yepes |
author_sort | Jose Daniel Gallego-Posada |
collection | DOAJ |
description | We present a methodology through exemplification to perform parameter estimation subject to possible factors of uncertainty. The underlying optimization problem is posed in the framework of the theory of interval-valued optimization. The implementation of numerical procedures required to achieve efficient solutions implied the use of the $\ell_1$ norm instead of usual $\ell_2$ regression. Finally, an implementation using real data was performed, demonstrating the ability of interval analysis to encapsulate uncertainty while facing non-trivial parameter estimation problems. |
first_indexed | 2024-03-11T11:54:21Z |
format | Article |
id | doaj.art-eeb02cb7bbf54bfe9a7d2c4431f406e9 |
institution | Directory Open Access Journal |
issn | 0037-8712 2175-1188 |
language | English |
last_indexed | 2024-03-11T11:54:21Z |
publishDate | 2018-04-01 |
publisher | Sociedade Brasileira de Matemática |
record_format | Article |
series | Boletim da Sociedade Paranaense de Matemática |
spelling | doaj.art-eeb02cb7bbf54bfe9a7d2c4431f406e92023-11-08T20:10:36ZengSociedade Brasileira de MatemáticaBoletim da Sociedade Paranaense de Matemática0037-87122175-11882018-04-0136210.5269/bspm.v36i2.2930915439Internal analysis and optimization applied to parameter estimation under uncertaintyJose Daniel Gallego-Posada0Maria Eugenia Puerta-Yepes1Universidad EAFITUniversidad EAFITWe present a methodology through exemplification to perform parameter estimation subject to possible factors of uncertainty. The underlying optimization problem is posed in the framework of the theory of interval-valued optimization. The implementation of numerical procedures required to achieve efficient solutions implied the use of the $\ell_1$ norm instead of usual $\ell_2$ regression. Finally, an implementation using real data was performed, demonstrating the ability of interval analysis to encapsulate uncertainty while facing non-trivial parameter estimation problems.https://periodicos.uem.br/ojs/index.php/BSocParanMat/article/view/29309optimizationinterval-valued analysisparameter estimation and inverse problems |
spellingShingle | Jose Daniel Gallego-Posada Maria Eugenia Puerta-Yepes Internal analysis and optimization applied to parameter estimation under uncertainty Boletim da Sociedade Paranaense de Matemática optimization interval-valued analysis parameter estimation and inverse problems |
title | Internal analysis and optimization applied to parameter estimation under uncertainty |
title_full | Internal analysis and optimization applied to parameter estimation under uncertainty |
title_fullStr | Internal analysis and optimization applied to parameter estimation under uncertainty |
title_full_unstemmed | Internal analysis and optimization applied to parameter estimation under uncertainty |
title_short | Internal analysis and optimization applied to parameter estimation under uncertainty |
title_sort | internal analysis and optimization applied to parameter estimation under uncertainty |
topic | optimization interval-valued analysis parameter estimation and inverse problems |
url | https://periodicos.uem.br/ojs/index.php/BSocParanMat/article/view/29309 |
work_keys_str_mv | AT josedanielgallegoposada internalanalysisandoptimizationappliedtoparameterestimationunderuncertainty AT mariaeugeniapuertayepes internalanalysisandoptimizationappliedtoparameterestimationunderuncertainty |