The discrepancy between min-max statistics of Gaussian and Gaussian-subordinated matrices
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Publication:2689900
DOI10.1016/j.spa.2023.01.006OpenAlexW3203724816MaRDI QIDQ2689900
Nicola Turchi, Giovanni Peccati
Publication date: 14 March 2023
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.12137
Malliavin calculusrandom matricesGaussian analysisGaussian fieldsprobabilistic approximationsmin-max statistics
Cites Work
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- Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings
- Elliptically contoured distributions
- Une inegalité du type de Slepian et Gordon sur les processus gaussiens. (An inequality of Slepian and Gordon type for Gaussian processes)
- Some inequalities for Gaussian processes and applications
- Majorization of Gaussian processes and geometric applications
- Comparison and anti-concentration bounds for maxima of Gaussian random vectors
- Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data
- Comparison inequalities on Wiener space
- Normal Approximations with Malliavin Calculus
- Comparison Inequalities for Order Statistics of Gaussian Arrays
- Lipschitzian Mappings and Total Mean Curvature of Polyhedral Surfaces. I
- Some comparisons for Gaussian processes
- Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method
- Random Fields and Geometry