Jacob Marschak and Others--Personal Probabilities of Probabilities

Abstract

By definition, the subjective probability distribution of a random event is revealed by the ('rational') subject's choice between bets -- a view expressed by F. Ramsey, B. De Finetti, L.J. Savage and traceable to E. Borel and, it can be argued, to T. Bayes. Since hypotheses are not observable events, no bet can be made, and paid off, on a hypothesis. The subjective probability distribution of hypotheses (or of a parameter, as in the current 'Bayesian' statistical literature) is therefore a figure of speech, an 'as if,' justifiable in the limit. Given a long sequence of previous observations, the subjective posterior probabilities of events still to be observed are derived by using a mathematical expression that would approximate the subjective probability distribution of hypotheses, if these could be bet on. This position was taken by most, but not all, respondents to a 'Round Robin' initiated by J. Marschak after M.H. DeGroot's talk on Stopping Rules.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1974
Accession Number
AD0781295

Entities

People

  • Jacob Marschak

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Bayes Theorem
  • Behavioral Sciences
  • Business Administration
  • Commerce
  • Data Science
  • Decision Theory
  • English Language
  • Information Science
  • Mathematics
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Sampling
  • Sequences
  • Statistics
  • Theorems

Readers

  • Forest Ecology
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Translation