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# [[wikipedia:Bayes' theorem|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]]. |
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# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]] |
# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]] and a [[Privacy enhancing straight average algorithm|privacy enhancing variant]] thereof. |
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# [[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]] |
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# [[Other possible algorithms for calculating binary predicates|An analysis of these methods and simple weighted averaging]] |
# [[Other possible algorithms for calculating binary predicates|An analysis of these methods and simple weighted averaging]] |
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Revision as of 21:11, 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:
- Bayes' equation with a simple example of its use.
- Simple averaging and a privacy enhancing variant thereof.
- Trust weighted averaging
- An analysis of these methods and simple weighted averaging
- Trust-weighted histograms
- Binned and continuous distributions
- Population distributions and graphical output with privacy