Abstract: An enhanced modeling tool associated with an entity may facilitate end-to-end modeling of problems in any application space. The enhanced modeling tool may collect modeling data from a variety of sources, check the collected data, find the best predictor variables for a given target variable, estimate the model, implement the model, and validate the model. The output of each of these steps may be in a standardized format to allow other steps to directly incorporate the output. An additional feature of the system may include a reporting capability that generates supporting documents related to model governance and risk compliance.

Abstract: Apparatus and methods for quantifying a difference between a first population distribution data set and a second population distribution data set. The apparatus and methods may use randomly generated population distribution differences to generate a mapping of a population stability index to a population distribution difference function. The population distribution difference function may be more responsive to some differences between the first and second population distribution data sets than is the population stability index. The population distribution difference function thus may be used to identify differences between population distribution data sets. The differences may then be mapped to a corresponding population stability index. The population stability index may then be used to quantify a difference between the first and second data sets.

Abstract: An enhanced modeling tool associated with an entity may facilitate end-to-end modeling of problems in any application space. The enhanced modeling tool may collect modeling data from a variety of sources, check the collected data, find the best predictor variables for a given target variable, estimate the model, implement the model, and validate the model. The output of each of these steps may be in a standardized format to allow other steps to directly incorporate the output. An additional feature of the system may include a reporting capability that generates supporting documents related to model governance and risk compliance.

Abstract: Methods, computer readable media, and apparatuses for automatically recalibrating risk models are presented. An identifier of a modeling function may be received. The modeling function may have at least one input variable and a first set of one or more coefficients. Updated performance data that includes at least one input value corresponding to the at least one input variable may be received from a data source. Then, a second set of one or more coefficients may be calculated for the modeling function based on the updated performance data. If it is subsequently determined that the modeling function more accurately models the updated performance data when the second set of one or more coefficients is used in computing a result of the modeling function, then the first set of one or more coefficients may be replaced with the second set of one or more coefficients to recalibrate the modeling function.