Central limit theorems for correlated variables: some critical remarks
H.J. Hilhorst

TL;DR
This paper reviews various central limit theorems for correlated variables, discusses potential new versions for specific problems, and questions the special role of q-Gaussians in statistical physics.
Contribution
It provides an elementary review of existing theorems, proposes the possibility of new variants, and critically examines the significance of q-Gaussians in physics.
Findings
Several central limit theorems for correlated variables are discussed.
Potential for new versions of theorems tailored to specific problems.
Insufficient evidence for q-Gaussians' special role in statistical physics.
Abstract
In this talk I first review at an elementary level a selection of central limit theorems, including some lesser known cases, for sums and maxima of uncorrelated and correlated random variables. I recall why several of them appear in physics. Next, I show that there is room for new versions of central limit theorems applicable to specific classes of problems. Finally, I argue that we have insufficient evidence that, as a consequence of such a theorem, q-Gaussians occupy a special place in statistical physics.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Financial Risk and Volatility Modeling · Probability and Statistical Research
