1. A computer-implemented method for model optimization, comprising: obtaining respective distribution descriptions of a plurality of input parameters to a model indicative of interrelationships between the input parameters and one or more output parameters; specifying respective search ranges for the plurality of input parameters; simulating the model to determine a desired set of input parameters based on a zeta statistic of the model; determining respective desired distributions of the input parameters based on the desired set of input parameters; determining significance levels of the input parameters in interacting with the output parameter based on the simulation and the desired distribution of the input parameters; and presenting the significance levels.