Kolmogorov's Extension Theorem is a fundamental result in probability theory that provides conditions under which a consistent family of finite-dimensional distributions can be extended to a unique probability measure on the space of infinite sequences. This theorem establishes a rigorous framework for constructing stochastic processes, especially stationary processes, ensuring that they have well-defined probabilistic properties over time.
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