It's said that stochastic processes require the Kolmogorov extension theorem to create a joint probability space, I'm wondering what happens without it?
Why can't finite dimensional approximations be sufficient to prove most results?
It's said that stochastic processes require the Kolmogorov extension theorem to create a joint probability space, I'm wondering what happens without it?
Why can't finite dimensional approximations be sufficient to prove most results?
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