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A Chaining Approach to Canonical Processes with Log-Concave Tails
Xuanang Hu, Hanchao Wang, Xinglong Wu
Source abstract
We prove a decomposition theorem for canonical processes generated by independent symmetric random variables with log-concave tails, without the condition. The proof uses the classical chaining method, based on admissible partitions and chopping maps. The argument also recovers the majorizing-measure characterization.
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