A frequentist interpretation of probability for model-based inductive inference.

The main objective of the paper is to propose a frequentist interpretation of probability in the context of model-based induction, anchored on the Strong Law of Large Numbers (SLLN) and justifiable on empirical grounds. It is argued that the prevailing views in philosophy of science concerning induc...

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Publicado en:	Synthese Vol. 190; no. 9; pp. 1555 - 1586
Autor principal:	Spanos, Aris
Formato:	Artículo
Publicado:	Springer Nature Jun2013
Materias:	Frequentist statistics Probability theory Inductive interference Induction (Logic) Law of large numbers Underdetermination (Theory of knowledge)
Acceso en línea:	Ver este registro en EBSCOhost