Probabilistic Modeling
The use of probability distributions to represent models, perform inference, and quantify uncertainty.
Different representation suits for specific statistic model so representation matters.
Predictor is a model or function that generates predictions based on input data.
Models make a lot of assumptions and many of these assumptions are not met.
The only correct model is the world itself.
All models are wrong, but some are useful - George E.P. Box