What are the Benefits of Using Bayesian Inference in Catalysis?
Bayesian inference offers several advantages in the field of catalysis:
Incorporation of Prior Knowledge: It allows researchers to incorporate prior knowledge and expert intuition into their models, which can be particularly valuable when dealing with complex catalytic systems. Handling Uncertainty: Bayesian methods are adept at handling uncertainty and variability in experimental data, providing a more robust framework for decision-making. Adaptive Learning: As new data becomes available, Bayesian models can be updated continuously, leading to progressively better predictions and insights.
