Exponential inequalities for the distribution tails of canonical U- and V-statistics of $\rho$-mixing observations
I. S. Borisov, N. Volodko

TL;DR
This paper derives Hoeffding-type inequalities for the tail distributions of canonical U- and V-statistics based on stationary $ ho$-mixing sequences, providing probabilistic bounds for dependent data.
Contribution
It introduces new exponential tail inequalities for degenerate U- and V-statistics under $ ho$-mixing conditions, extending classical results to dependent observations.
Findings
Established Hoeffding-type inequalities for $ ho$-mixing sequences.
Provided bounds applicable to degenerate U- and V-statistics.
Extended tail probability estimates to dependent data contexts.
Abstract
The Hoeffding-type-inequalities are obtained for the distribution tails of canonical (degenerate) U- and V-statistics of an arbitrary order based on samples from a stationary sequence of observations satisfying -mixing.
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Taxonomy
TopicsAdvanced Statistical Process Monitoring · Statistical Methods and Inference · Bayesian Methods and Mixture Models
