| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1154361 | Statistics & Probability Letters | 2015 | 8 Pages | 
Abstract
												This note is concerned with concentration inequalities for extrema of stationary Gaussian processes. It provides non-asymptotic tail inequalities which fully reflect the fluctuation rate, and as such improve upon standard Gaussian concentration. The arguments rely on the hypercontractive approach developed by Chatterjee for superconcentration variance bounds. Some statistical illustrations complete the exposition.
Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Statistics and Probability
												
											Authors
												Kevin Tanguy, 
											