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math.PR2023
Wasserstein-p Bounds via Cumulant-Based Edgeworth Expansion for -Mixing Random Fields
Tianle Liu, Morgane Austern
Recent progress has been made in establishing normal approximation bounds in terms of the Wasserstein- distance for i.i.d. and locally dependent random variables. However, for $…
math.PR2023
Wasserstein-p Bounds in the Central Limit Theorem Under Local Dependence
Tianle Liu, Morgane Austern
The central limit theorem (CLT) is one of the most fundamental results in probability; and establishing its rate of convergence has been a key question since the 1940s. For indepen…