I am conducting a model comparison for a limited set of data using the Ultranest nested sampling bayesian analysis. I realized that for a few complex models, the number of data points is less than the free parameters in the model. Is it physical to consider such a complex model during model comparison? The complex model is fitting the data better.
Also, does the evidence value (logz) takes care of the above-mentioned problem.
