Bayesian smoothing of confidential data values at organization level using peer organization group

摘要

In an example embodiment, submitted confidential data of a certain cohort (e.g., title, region, organization) is augmented by modeling confidential data of a more generalized cohort based on peer organizations. The modeling may be performed using Bayesian modeling and the results used to infer confidential data values for the original cohort. The inferred confidential data values can then be used to generate statistical insights for display in a graphical user interface.