The Bayesian program during 1963–1992 became increasingly computationally oriented, linking formal probabilistic reasoning with practical inference. Researchers emphasized principled prior specification and model comparison, embedding Bayesian thinking into routine statistical practice and education. Computation driven the era, with data augmentation, EM-type schemes, and Monte Carlo methods enabling complex models and nonparametric spaces to be analyzed.