Critical issues in different inferential paradigms

  • Ludovico Piccinato


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.


Bayesian inference Likelihood inference Frequentist inference Conditioning Principle of repeated sampling Likelihood Principle Decision theory Statistical models 


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© Societa Italiana di Statistica 1992

Authors and Affiliations

  • Ludovico Piccinato
    • 1
  1. 1.Dipartimento di Statistica Probab. e Stat. ApplicateUniversità «La Sapienza»RomaItaly

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