Probabilistic opinion pooling generalized. Part two: the premise-based approach

Citation data:

Social Choice and Welfare, ISSN: 0176-1714, Vol: 48, Issue: 4, Page: 787-814

Publication Year:
2017
Usage 37
Downloads 30
Abstract Views 7
Captures 16
Readers 15
Exports-Saves 1
Social Media 2
Tweets 2
Citations 1
Citation Indexes 1
Repository URL:
http://philsci-archive.pitt.edu/id/eprint/12983
DOI:
10.1007/s00355-017-1035-y
Author(s):
Franz Dietrich, Christian List
Publisher(s):
Springer Nature
Tags:
Social Sciences, Economics, Econometrics and Finance
Most Recent Tweet View All Tweets
article description
How can several individuals’ probability functions on a given σ-algebra of events be aggregated into a collective probability function? Classic approaches to this problem usually require ‘event-wise independence’: the collective probability for each event should depend only on the individuals’ probabilities for that event. In practice, however, some events may be ‘basic’ and others ‘derivative’, so that it makes sense first to aggregate the probabilities for the former and then to let these constrain the probabilities for the latter. We formalize this idea by introducing a ‘premise-based’ approach to probabilistic opinion pooling, and show that, under a variety of assumptions, it leads to linear or neutral opinion pooling on the ‘premises’.

This article has 0 Wikipedia mention.