Bayesian is the statistical approach that implies combining subjective probabilities with prior knowledge. However, there are several other synonyms for Bayesian, including probabilistic, subjective, Bayesian probability, and Bayes. These synonyms are often used interchangeably, depending on the context. The probabilistic approach emphasizes the random variables that are the basis of statistical inference, while subjective probability is closer to personal beliefs and judgments. The Bayesian probability is a result of the subjective interpretation of probability theory, while Bayes' theorem is the primary tool for the probabilistic approach. Regardless of the terminology used, Bayesian methods have gained popularity in various fields, from machine learning and data science to decision theory and cognitive science.