Examinando por Autor "M.E."
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Ítem Interval analysis and optimization applied to parameter estimation under uncertainty(Boletim da Sociedade Paranaense de Matematica, 2018-01-01) Gallego-Posada; J.D.; Puerta-Yepes; M.E.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoWe 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 l1 norm instead of usual l2 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. © Soc. Paran. de Mat.Ítem Interval analysis and optimization applied to parameter estimation under uncertainty(Boletim da Sociedade Paranaense de Matematica, 2018-01-01) Gallego-Posada; J.D.; Puerta-Yepes; M.E.; Gallego-Posada; J.D.; Puerta-Yepes; M.E.; Universidad EAFIT. Departamento de Ciencias; Matemáticas y AplicacionesWe 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 l1 norm instead of usual l2 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. © Soc. Paran. de Mat.