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Can I read Random Utility Representations of Finitem-ary Relations on EtoBox?

Random Utility Representations of Finitem-ary Relations by Michel Regenwetter is a Computer Science article available to read on EtoBox.

What is Random Utility Representations of Finitem-ary Relations about?

Block and Marschak (1960, in Olkin et al. (Eds.) , Contributions to probability and statistics (pp. 97 132). Stanford, CA: Stanford Univ. Press) discussed the relationship between a probability distribution over the strict linear rankings on a finite set C and a family of jointly distributed random variables indexed by C. The present paper generalizes the concept of random variable (random utility) representations to m-ary relations. It specifies conditions on a finite family of random variables that are sufficient to construct a probability distribution on a given collection of m-ary relations over the family's index set. Conversely, conditions are presented for a probability distribution on a collection of m-ary relations over a finite set C to induce (on a given sample space) a family of jointly distributed random variables indexed by C. Four random variable representations are discussed as illustrations of the general method. These are a semiorder model of approval voting, a probabilistic model for betweenness in magnitude judgments, a probabilistic model for political ranking data, and a probabilistic concatenation describing certainty equivalents for the joint receipt of gamb

Who reads Random Utility Representations of Finitem-ary Relations?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Michel Regenwetter
Publisher
Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0022-2496)
Published
1996
Language
EN
Field
Computer Science (Social Sciences)

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