jylls/ModelSelection_MonteCarlo_SubCompleteSpinModels

This Monte Carlo simulation finds the best sub-complete model with m independent variables in a system of n random variables (with n > m). For this purpose, it travels through the class of equivalence of these models by performing gauge transformations on the dataset and selects the model with the largest maximum log-likelihood.

C++