Abstract: Methods and a system for generating and employing dimensionality-reduction for generating statistical models. Traditionally, constructing models used for statistical analysis has been a laborious process requiring significant amounts of analyst input and processing time. Embodiments of the inventions address the above problem by providing an efficient method for pre-screening variable to automatically prune the dimensionality of the input space to a tractable size while retaining the most predictive power possible.

Abstract: Potential benefits that may be applicable to a taxpayer are identified based upon other tax returns for other similar taxpayers, specifically based upon a common external entity that may provide or be associated with the benefit. Identified potential benefits are then recommended to the user. Steps may include receiving a set of taxpayer information related, at least in part, to a subject tax return of the subject taxpayer; identifying an external entity identified on the subject tax return; analyzing a filed return data store to determine benefits reported on tax returns that are indicative of the external entity; identifying a potential benefit associated with the external entity; determining an estimated criterion for the potential benefit; determining whether the subject taxpayer is likely eligible for the potential benefit, based upon the estimated criterion and the set of taxpayer information; and recommending the potential benefit to the subject taxpayer.

Abstract: Potential benefits that may be applicable to a taxpayer are identified based upon other tax returns for other similar taxpayers, specifically based upon a common external entity that may provide or be associated with the benefit. Identified potential benefits are then recommended to the user. Steps may include receiving a set of taxpayer information related, at least in part, to a subject tax return of the subject taxpayer; identifying an external entity identified on the subject tax return; analyzing a filed return data store to determine benefits reported on tax returns that are indicative of the external entity; identifying a potential benefit associated with the external entity; determining an estimated criterion for the potential benefit; determining whether the subject taxpayer is likely eligible for the potential benefit, based upon the estimated criterion and the set of taxpayer information; and recommending the potential benefit to the subject taxpayer.