Kryterium Akaike: prostota w języku statystyki

Łukasz Kukier; Marek Szydłowski; Paweł Tambor

Łukasz Kukier John Paul II Catholic University of Lublin, Faculty of Philosophy
Marek Szydłowski John Paul II Catholic University of Lublin, Faculty of Philosophy
Paweł Tambor John Paul II Catholic University of Lublin, Faculty of Philosophy

Keywords: Akaike Informative Criterion, simplicity, philosophy of science, model selection

Abstract

Many authors have pointed out that notion of simplicity is unclear. For deeper understanding of this term, we investigate it in the conceptual framework of Akaike Informative Criterion (AIC). Advantages as well as troubles of such formulation are presented in the paper. We also discuss a role which plays the simplicity notion formulated in statistical framework within Sober’s philosophy of science conception.

Author Biographies

Łukasz Kukier, John Paul II Catholic University of Lublin, Faculty of Philosophy

Łukasz Kukier, M.A. – Department of Theoretical Physics, The John Paul II Catholic University of Lublin

Marek Szydłowski, John Paul II Catholic University of Lublin, Faculty of Philosophy

Prof. Dr. Marek Szydłowski – Department of Theoretical Physics, The John Paul II Catholic University of Lublin

Paweł Tambor, John Paul II Catholic University of Lublin, Faculty of Philosophy

Rev. Paweł Tambor, Ph.D. – Department of Theoretical Physics, The John Paul II Catholic University of Lublin

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Akaike Criterion: Simplicity in the Language of Statistics

Abstract

Author Biographies

References