The Bottom Up Approach for Life prediction

Scientific models can take many shapes and forms, but they all seek to characterize response variables through relationship with appropriate factors. Traditional models can be divided into two main categories: mathematical or theoretical models and statistical or empirical models. Mathematical models have the common trait that the response and predictor variables are assumed to be free of specification error and measurement uncertainty. Statistical models, on the other hand, are derived from data that are subject to various types of specification, observation, experimental and/or measurement errors. In general terms mathematical models can guide investigations while statistical models are used to represent the results of these investigations.