Nomis Solutions, Inc.

Robin L Raffard

Robert L Phillips

Randi Annette Paynter

Joseph C Nipko

Data for a transaction is modeled by receiving a source set of data. The source set of data comprises data representing a plurality of transactions stored in a source transaction database. An estimation model for modeling data for a transaction is received. A mapping between the source set of data and a model parameter database is received. The model parameter database comprises a plurality of model parameters for the estimation model. The parameters extracted from the model parameter database and the source set of data in a Bayesian framework are combined using a parameter estimation engine to obtain an updated set of model parameters. The updated set of model parameters is stored in the model parameter database.

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Berkeley, CA, United States of America

Robin L Raffard