The period consolidated Bayesian thinking as a versatile framework for inference under uncertainty across statistics and econometrics. Researchers emphasized priors as a formal mechanism to shape learning in regression, experimental design, and decision making under ambiguity. The emergence of Bayesian game theory, Bayesian nonparametrics, and objective priors expanded the methodological toolkit and linked theory with applications in economics and inference.