Stochastic Models for Communications: Continuous-Time Stochastic Processes Examples 4-5

Covers the concept of ergodicity in continuous-time stochastic processes.

Explores martingales in stochastic systems, focusing on formal analysis, termination analysis, and stability verification.

Illustrates ergodicism in continuous-time stochastic processes through examples and calculations.

Explores spatial ergodicity for SPDEs, covering basic formulations, initial data effects, and results on ergodicity and CLT.

Explores classical mean field theory, local interactions, and examples like individual-based SIR models and raindrop formation.