Some Thoughts About the Design of Loss Functions

The choice and design of loss functions is discussed. Particularly when computational methods like cross-validation are applied, there is no need to stick to “standard” loss functions such as the L2-loss (squared loss). Our main message is that the choice of a loss function in a practical situation...

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Main Authors: Christian Hennig, Mahmut Kutlukaya
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2007-03-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/40
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author Christian Hennig
Mahmut Kutlukaya
author_facet Christian Hennig
Mahmut Kutlukaya
author_sort Christian Hennig
collection DOAJ
description The choice and design of loss functions is discussed. Particularly when computational methods like cross-validation are applied, there is no need to stick to “standard” loss functions such as the L2-loss (squared loss). Our main message is that the choice of a loss function in a practical situation is the translation of an informal aim or interest that a researcher may have into the formal language of mathematics. The choice of a loss function cannot be formalized as a solution of a mathematical decision problem in itself. An illustrative case study about the location of branches of a chain of restaurants is given. Statistical aspects of loss functions are treated, such as the distinction between applications of loss functions to prediction and estimation problems and the direct definition of estimators to minimize loss functions. The impact of subjective decisions to the design of loss functions is also emphasized and discussed.
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spelling doaj.art-4919f0cded534179b9404bb27569db872022-12-22T02:15:40ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712007-03-015110.57805/revstat.v5i1.40Some Thoughts About the Design of Loss FunctionsChristian Hennig 0Mahmut Kutlukaya 1University College LondonBanking Regulation and Supervision Agency The choice and design of loss functions is discussed. Particularly when computational methods like cross-validation are applied, there is no need to stick to “standard” loss functions such as the L2-loss (squared loss). Our main message is that the choice of a loss function in a practical situation is the translation of an informal aim or interest that a researcher may have into the formal language of mathematics. The choice of a loss function cannot be formalized as a solution of a mathematical decision problem in itself. An illustrative case study about the location of branches of a chain of restaurants is given. Statistical aspects of loss functions are treated, such as the distinction between applications of loss functions to prediction and estimation problems and the direct definition of estimators to minimize loss functions. The impact of subjective decisions to the design of loss functions is also emphasized and discussed. https://revstat.ine.pt/index.php/REVSTAT/article/view/40predictionestimationdecision theoryM-estimatorMM-estimatorlinear regression
spellingShingle Christian Hennig
Mahmut Kutlukaya
Some Thoughts About the Design of Loss Functions
Revstat Statistical Journal
prediction
estimation
decision theory
M-estimator
MM-estimator
linear regression
title Some Thoughts About the Design of Loss Functions
title_full Some Thoughts About the Design of Loss Functions
title_fullStr Some Thoughts About the Design of Loss Functions
title_full_unstemmed Some Thoughts About the Design of Loss Functions
title_short Some Thoughts About the Design of Loss Functions
title_sort some thoughts about the design of loss functions
topic prediction
estimation
decision theory
M-estimator
MM-estimator
linear regression
url https://revstat.ine.pt/index.php/REVSTAT/article/view/40
work_keys_str_mv AT christianhennig somethoughtsaboutthedesignoflossfunctions
AT mahmutkutlukaya somethoughtsaboutthedesignoflossfunctions