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Critical issues in different inferential paradigms

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Summary

The main issues which characterize the current inferential paradigms are discussed. Emphasis is given to the kind of probability that can be used and to the problem of total or partial conditioning. Through classical examples, the major role of conditioning is stressed. Some trends of the main approaches (frequentist and Bayesian) are illustrated and some comments on the completely predictive approach are also provided.

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  1. Dipartimento di Statistica Probab. e Stat. Applicate, Università «La Sapienza», P.le A. Moro 5, 00185, Roma, Italy

    Ludovico Piccinato

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Piccinato, L. Critical issues in different inferential paradigms. J. It. Statist. Soc. 1, 251–274 (1992). https://doi.org/10.1007/BF02589034

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