Uniform estimates for order statistics and Orlicz functions
Yehoram Gordon, Alexander Litvak, Carsten Sch\"utt, Elisabeth, Werner

TL;DR
This paper derives uniform bounds for the order statistics of i.i.d. log-concave random variables using Orlicz norms linked to their distribution functions.
Contribution
It introduces new uniform estimates connecting order statistics with Orlicz norms for log-concave distributions.
Findings
Established bounds for order statistics using Orlicz norms.
Extended the understanding of distributional properties of log-concave variables.
Provided tools for analyzing extremal behavior in probabilistic models.
Abstract
We establish uniform estimates for order statistics of sequences of independent identically distributed random variables with log-concave distribution in terms of Orlicz norms associated with the distribution function of the random variables.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Bayesian Methods and Mixture Models · Statistical Methods and Inference
