Model selection is a core topic in modern Statistics. This is a review of what has been researched on optimal experimental design for model selection. The aim is to find good designs for increasing the test power for discriminating between rival models. This topic has a special impact nowadays in the area of experimental design.
Optimal Experimental Design for Model Selection: a Partial Review / J. López-Fidalgo, C. Tommasi (STUDIES IN SYSTEMS, DECISION AND CONTROL). - In: The Mathematics of the Uncertain : a Tribute to Pedro Gil / [a cura di] E. Gil, E. Gil, J. Gil, M.Á. Gil. - Cham : Spinger, 2018. - ISBN 9783319738475. - pp. 253-263 [10.1007/978-3-319-73848-2_24]
Optimal Experimental Design for Model Selection: a Partial Review
C. TommasiWriting – Review & Editing
2018
Abstract
Model selection is a core topic in modern Statistics. This is a review of what has been researched on optimal experimental design for model selection. The aim is to find good designs for increasing the test power for discriminating between rival models. This topic has a special impact nowadays in the area of experimental design.
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