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Aggregation techniques: Difference between revisions

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Pete (talk | contribs)
Created page with "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) Techniques for binned an..."
 
Pete (talk | contribs)
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1) Bayes' equation with a simple example of its use.
1) Bayes' equation with a simple example of its use.

2) Simple averaging.
2) Simple averaging.

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

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

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

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

Revision as of 20:01, 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.

2) Simple averaging.

3) Trust weighted averaging.

4) Techniques for binned and continuous distributions.

5) Trust-weighted histograms.

6) Population distributions and privacy considerations.