State-space representations and optimal filtering became the central methodological thread, unifying estimation across stationary and nonstationary statistics and reconciling finite- and infinite-memory dynamics. The period emphasizes dynamic modeling through state-transition analyses, enabling coherent treatment of linear and nonlinear systems under uncertainty. This approach linked probabilistic dynamics with practical estimation and prediction tasks, guiding subsequent developments in stochastic processes.