Mod-Gaussian Convergence for Random Determinants-Reference-Cited by-同舟云学术

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Mod-Gaussian Convergence for Random Determinants

Published:2018-12-14 Issue:1 Volume:20 Page:259-298
ISSN:1424-0637
Container-title:Annales Henri Poincaré
language:en
Short-container-title:Ann. Henri Poincaré

Author:

Dal Borgo Martina,Hovhannisyan Emma,Rouault Alain

Publisher

Springer Science and Business Media LLC

Subject

Mathematical Physics,Nuclear and High Energy Physics,Statistical and Nonlinear Physics

Link

http://link.springer.com/article/10.1007/s00023-018-0744-9/fulltext.html

Reference44 articles.

1. Abbott, J., Mulders, T.: How tight is Hadamard bound? Exp. Math. 10(3), 331–336 (2001)

2. Bai, Z.D., Silverstein, J.W.: CLT for linear spectral statistics of large-dimensional sample covariance matrices. Ann. Probab. 32(1A), 553–605 (2004)

3. Barnes, E.W.: The theory of the G-function. Q. J. Pure Appl. Math. 31, 264–314 (1900)

4. Bartlett, M.: On the theory of statistical regression. Proc. R. Soc. Edinb. 53, 260–283 (1934)

5. Borot, G., Eynard, B., Majumdar, S., Nadal, C.: Large deviations of the maximal eigenvalue of random matrices. J. Stat. Mech. Theory Exp. 2011(11), P11024 (2011)

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