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Weak convergence of stationary empirical processes.
Weak convergence; central limit theorems; Poisson convergence; Stein's method.
Moreover, we establish the weak convergence under an additional hypothesis.
We establish weak convergence of the process under parameter uncertainty and local alternatives.
Local weak convergence, Gibbs measures on trees, cavity method, and replica symmetry breaking.
Weak convergence of the associated processes is discussed.
⇀ denotes weak convergence.
Weak convergence 3.
Weak convergence of probability measures; characteristic functions of random variables and their relationship to weak convergence.
It always has weak convergence.
Theorem 3.1 (Weak convergence theorem).
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