Statistical models in catalysis are mathematical representations that describe the relationship between various factors influencing a catalytic process. They help in quantifying the effect of variables such as temperature, pressure, and reactant concentrations on the catalytic activity, selectivity, and stability. These models can range from simple linear regressions to more complex machine learning algorithms.
