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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:


1) Bayes' equation with a simple example of its use.
# Bayes' equation with a simple example of its use.


2) Simple averaging.
# Simple averaging.


3) [[Trust]] weighted averaging.
# [[Trust]] weighted averaging.


4) Techniques for binned and continuous distributions.
# Techniques for binned and continuous distributions.


5) Trust-weighted histograms.
# Trust-weighted histograms.


6) Population distributions and privacy considerations.
# Population distributions and privacy considerations.

Revision as of 20:02, 30 August 2024

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.
  1. Simple averaging.
  1. Trust weighted averaging.
  1. Techniques for binned and continuous distributions.
  1. Trust-weighted histograms.
  1. Population distributions and privacy considerations.