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A Derivation of Quasi-Bayesian Theory
F. Cozman
tech. report CMU-RI-TR-97-37, Robotics Institute, Carnegie Mellon University, December, 1997.

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This report presents a concise and complete theory of convex sets of distributions, which extends and unifies previous approaches. Lower expectations and convex sets of probability distributions are derived from axioms of preference; concepts of conditionalization, independence and conditional independence are defined based on convex sets of distributions.

Sponsor: NASA, CNPq
Grant ID: NAGW-1175

Number of pages: 29

F. Cozman, A Derivation of Quasi-Bayesian Theory, tech. report CMU-RI-TR-97-37, Robotics Institute, Carnegie Mellon University, December, 1997.

@techreport{Cozman_1997_455,
   author = "Fabio Cozman",
   title = "A Derivation of Quasi-Bayesian Theory",
   institution = "Robotics Institute, Carnegie Mellon University",
   month = "December",
   year = "1997",
   number = "CMU-RI-TR-97-37",
   address = "Pittsburgh, PA"
}