activity
20062018
most citedCLT for the zeros of Classical Random Trigonometric Polynomials

22 citations · 36 across the 9 of their papers we have counts for

collaborators

12 papers

math.PR2018★ 1 cited

Central Limit Theorem for the volume of the zero set of Kostlan-Shub-Smale random polynomial systems

Jean-Marc Azaïs, Diego Armentano, Federico Dalmao +1

We state the Central Limit Theorem, as the degree goes to infinity, for the normalized volume of the zero set of a rectangular Kostlan-Shub-Smale random polynomial system. This pap…

math.PR2018

Central Limit Theorem for the number of real roots of Kostlan Shub Smale random polynomial systems

Diego Armentano, Jean-Marc Azaïs, Federico Dalmao +1

We obtain a Central Limit Theorem for the normalized number of real roots of a square Kostlan-Shub-Smale random polynomial system of any size as the degree goes to infinity. A stud…

math.ST2017

Testing Gaussian Process with Applications to Super-Resolution

Jean-Marc Azaïs, Yohann De Castro, Stéphane Mourareau

This article introduces exact testing procedures on the mean of a Gaussian process derived from the outcomes of -minimization over the space of complex valued measures.…

math.PR2015★ 1 cited

Local universality of the number of zeros of random trigonometric polynomials with continuous coefficients

Jean-Marc Azaïs, Federico Dalmao, José León +2

Let be a random trigonometric polynomial of degree with iid coefficients and let denote the (random) number of its zeros lying in the compact interval $I\subset\…

math.ST2015

Power of the Spacing test for Least-Angle Regression

Jean-Marc Azaïs, Yohann de Castro, Stéphane Mourareau

Recent advances in Post-Selection Inference have shown that conditional testing is relevant and tractable in high-dimensions. In the Gaussian linear model, further works have deriv…

math.ST2014

A Rice method proof of the Null-Space Property over the Grassmannian

J. -M Azaïs, Y. De Castro, S. Mourareau

The Null-Space Property (NSP) is a necessary and sufficient condition for the recovery of the largest coefficients of solutions to an under-determined system of linear equations. I…

math.PR2014★ 22 cited

CLT for the zeros of Classical Random Trigonometric Polynomials

Jean-Marc Azaïs, Federico Dalmao, José R. León

We prove a Central Limit Theorem for the number of zeros of random trigonometric polynomials of the form , being independent standard…

math.PR2013★ 3 cited

Asymptotic formula for the tail of the maximum of smooth Stationary Gaussian fields on non locally convex sets

Jean-Marc Azaïs, Viet-Hung Pham

In this paper we consider the distribution of the maximum of a Gaussian field defined on non locally convex sets. Adler and Taylor or Aza\"ıs and Wschebor give the expansions in th…

math.ST2013★ 1 cited

A proportional hazard model for the estimation of ionosphere storm occurrence risk

Malika Chassan, Jean-Marc Azaïs, Guillaume Buscarlet +1

Severe Ionosphere magnetic storms are feared events for integrity and continuity of navigation systems such as EGNOS, the European SBAS (Satellite-Based Augmentation System) comple…

math.ST2013★ 6 cited

Spike detection from inaccurate samplings

Jean-Marc Azais, Yohann De Castro, Fabrice Gamboa

This article investigates the support detection problem using the LASSO estimator in the space of measures. More precisely, we study the recovery of a discrete measure (spike train…

math.PR2011

The tail of the maximum of smooth Gaussian fields on fractal sets

Jean-Marc Azaïs, Mario Wschebor

We study the probability distribution of the maximum of a smooth stationary Gaussian field defined on a fractal subset of . Our main result is the equivalent of th…

math.PR2006★ 2 cited

A general expression for the distribution of the maximum of a Gaussian field and the approximation of the tail

Jean-Marc Azaïs Mario Wschebor

We study the probability distribution of the maximum of smooth Gaussian fields defined on compact subsets of having some geometric regularity. Our main result is a ge…