why should models in forecasting be compared to out of sample probabilities? average likelihood for model b can the out of sample probability be measured? how to compare a non-nested model to a non-nested model which metric is used to compare two different models what is a simple example of a nested model can a prediction be compared to an out of sample likelihood? why are non-nested models useful for forecasting difference between model a and model b which of the following is an example of a linear logistic regression can a non nested model be compared to an out of sample model what is an example of a normalized model what is meant by the comparison of out of sample probabilities average out of sample probabilities comparing the model with the expected out of sample probability how do you compare out of sample probability why is it useful to compare two model in a forecasting how to compare multiple models how to compare a model to another model without normalizing can out of sample probabilities be compared