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/** * * Aggregates two probability estimates from independent sources about the occurrence of * a **single** event **a**. It returns the aggregated probability of occurrence * of the event **a**. The assumption here is that the two probabilities * (estimates) are not correlated with each other and the **common prior** * probability of **a** is **0.5**. * * For a detailed explanation, refer to the paper titled * *[Bayesian Group Belief by Franz Dietrich](http://link.springer.com/article/10.1007/s00355-010-0453-x)* * published in Social Choice and Welfare October 2010, Volume 35, Issue 4, pp 595–626. * * @memberof probability * @param {number} pa1 first estimate of probability of occurrence of event **a**. * @param {number} pa2 second estimate of probability of occurrence of event **a**. * @return {number} the aggregated probability. * @example * aggregate( 0.5, 0.6 ); * // returns 0.6 * aggregate( 0.5, 0.4 ); * // returns 0.4 * aggregate( 0.6, 0.6 ); * // returns 0.6923076923076923 * aggregate( 0.4, 0.6 ); * // returns 0.5 */

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