Efficient generation of an extrapolated inference associated with a subsequent event with increased fidelity and reduced redundancy

Abstract

A method for generating an extrapolated indication includes receiving input data associated with a subsequent event and indicating a determined variable for the subsequent event. The determined variable is strongly correlated with indications of previous events and is identified utilizing bivariate analysis and data brackets correlated with the indications of the previous events, as identified using a multiple variable algorithm and the previous events. The method also includes generating the extrapolated indication associated with the subsequent event utilizing the input data, the determined variable, and an associated determined value, which separates ranges of data associated with the determined variable, which is strongly correlated with indications of the previous events and is generated utilizing bivariate analysis and the data brackets. The extrapolated indication has increased fidelity or reduced redundancy relative to an extrapolated indication generated from input data not indicating the determined variable for the subsequent event.