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Aggregation techniques: Difference between revisions

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A number of aggregation techniques are possible. A few are listed here:
A number of aggregation techniques are possible. A few are listed here:


# Bayes' equation with a [[Technical overview of the ratings system|simple example of its use]].
# [[wikipedia:Bayes' theorem|Bayes' equation]] with a [[Technical overview of the ratings system|simple example of its use]].
# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]]
# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]]
# [[A trust weighted averaging technique to supplement straight averaging and Bayes|Trust weighted averaging]]
# [[A trust weighted averaging technique to supplement straight averaging and Bayes|Trust weighted averaging]]

Revision as of 21:04, 30 August 2024

Main article: Technical overview of the ratings system

Aggregation refers to the way we combine the opinions of others to obtain a final value of the opinion. A poll which takes the sum of each person's candidate preference in an election and then calculates the percentage for each candidate is an aggregation technique.

A number of aggregation techniques are possible. A few are listed here:

  1. Bayes' equation with a simple example of its use.
  2. Simple averaging
  3. Trust weighted averaging
  4. An analysis of these methods and simple weighted averaging
  5. Trust-weighted histograms
  6. Binned and continuous distributions
  7. Population distributions and graphical output with privacy