ESTIMATION BASED ON CASE-CONTROL DESIGNS

摘要

In one embodiment, an estimator is determined for an unbiased sample of a probability distribution. The estimator is configured to accept a weight for each data point. The unbiased sample includes a first type of observation of the probability distribution and a second type of observation of the probability distribution. Clusters of the samples are determined from the biased sample where a cluster includes one or more samples of the first type of observation and one or more samples of the second type of observation. Weights are assigned to each sample within a cluster based on characteristics of the sample and the target population.. After the weights are determined, the estimator for an unbiased sample may be used to map data points of the biased sample to the target feature by inputting the biased sample with the corresponding weights for each sample into the estimator.