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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

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Concentration inequality for minimal eigenvalue of sample covariance

A variant of this result has been proved in https://arxiv.org/pdf/1106.2775.pdf (under a regularity assumption that is weaker than sub-Gaussian).
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