Preprints

Azaïs J-M. & Pham V. H.; Asymptotic formula for the tail of the maximum of smooth Gaussian fields on non locally convex sets
Azaïs J-M. & Pham V. H ; The record method for two and three dimensional parameters random fields
Azaïs J-M. & Lozada L.-V. ; A toolbox on the distribution of the maximum of Gaussian process
Azaïs J-M. , De Castro Y.& Gamboa F. ; Spike detection from inaccurate samplings
Chassan M., Azaïs J-M. , Buscarlet G. & Suard N.; A proportional hazard model for the estimation of ionosphere storm occurrence risk

2013

Azaïs J-M. & Leon J.CLT for crossings of random trigonometric polynomials . Electronic Journal of Probability Vol 18 article 68

Azaïs J-M. & Fort J.-C; Remark on the finite-dimensional character of certain results of functional statistics. Comptes Rendus Math�matiques Volume 351, Issues 3?4, 139-141

2012

Azaïs J-M. & Wschebor M. The Tail of the Maximum of Smooth Gaussian Fields on Fractal Sets . Journal of Theoretical Probability.To appear

Azaïs J-M,
& Genz A. Computation of the Distribution of the Maximum of Stationary Gaussian Processes. Methodology and Computing in Applied Probability . To appear
Blanc P., Coste K., Pouchin P., Azaïs J.-M., Blanchon L. Gallot D. and SapinD.
A Role for Mesenchyme Dynamics in Mouse Lung Branching Morphogenesis
PLoS ONE 7(7): e41643. doi:10.1371/journal.pone.0041643.

2011

Azaïs J-M, Leon J.& Wschebor M. Rice formulas and Gaussian waves.Bernoulli Vol. 17, No. 1, 170-193.

2010

Boitard S., Mangin B. & Azaïs J-M. Asymptotic Distribution of the “Orthogonal”Quantitative Transmission

Disequilibrium Test in a strutured population: exact formulaStatistical Applicationsin Genetics and

Molecular Biology: Vol. 9 :Iss. 1, Article 11
Azaïs J-M, Bercu S. Fort J-C.,Lagnoux A. & Lé P. Simultaneous confidence bands in curve prediction

applied to load curves. Journal of the royal statitical society (C) Appl. Statist. 59, Part 5, pp. 889–904
Ribes A, Azaïs J-M, Planton S. (2010). A method for regional climate change detection using smooth

temporal patterns, Climate Dynamics, DOI 10.1007/s00382-009-0670-0
Azaïs, J.M.; Wschebor, M. Erratum to A general formula for the distribution of the maximum of a Gaussian field and the approximation of the tail, Stochastic Processes and their Applications, Vol. 120, 10, 2100-2101, 2010.

2009

Ribes, A, Azaïs, J-M, Planton, S. Adaptation of the optimal fingerprint method for climate change

detection using a well-conditioned covariance matrix estimate, Climate Dynamics:

Volume 33, Issue 5, Page 707-722.DOI : 10.1007/s00382-009-0561-4

Azaïs J-M., Gassiat E. & Mercadier C. The likelihood ratio test for general mixture models

with or without structural parameter. ESAIM: PS 13 301-327 DOI: 10.1051/ps:2008010

2008

Azaïs J-M. & Wschebor M .A general expression for the distribution of the maximum of a Gaussian field

and the approximation of the tail. Stochastic Processes and their Applications (2008), 118, 7, 1190-1218.

2006

Azaïs J-M., Gassiat E. & Mercadier C. Asymptotic distribution and local power of the log-likelihood ratio

test for mixtures: bounded and unbounded cases. Bernoulli,12(5),775-799

2005

Azaïs J-M. & Wschebor M. On the roots of a random system of equations.

The theorem of Shub and Smale and some extensions. Fondations of Computational Mathematics 125-144

Azaïs J-M., Leon J. & Ortega J. Geometrical Characteristic of Gaussian sea Waves.

Journal of Applied Probability, 42,1-19

Azaïs J-M. & Wschebor M. Upper and Lower Bounds for the Tails of the Distribution of the Condition

Number of a Gaussian Matrix. SIAM Journal on Matrix Analysis and Applications, 26,2, 426-440.

Azaïs J-M. & Wschebor M. On the Distribution of the Maximum of a Gaussian Field with d Parameters.

Annals of Applied Probability , 15 (1A), 254-278

2004

Chevallier E., Grand A. & Azaïs J-M. Spatial and temporal distribution of Cholera

in Ecuador between 1991 and 1996 European Journal of Public Health ;14(3):274-9.

Azaïs J-M. Illustration de la méthode des plans d'expériences sur la comparaison de boissons au cola.

Journal de la Société Francaise de Statistique 145,4, 69-78 (2004)

2003

Azaïs J-M. & Mercadier C. Asymptotic Poisson character of extremes in non-stationary Gaussian models.

Extremes,6,4, 301-318

2002

Azaïs J-M. & Wschebor M. The distribution of the maximum of a Gaussian process :

Rice method revisited. In and out of equilibrium : Probability with a physical flavour, progress in probability

(V. Sidoravicius ed.), Birhauser

Azaïs J-M. & Cierco-Ayrolles C. An Asymptotic test for quantitative test detection.

Annales de l’Institut Henri Poincaré, P. et S., 6, 38 1087-1092.

Azaïs J-M. & Delmas C. Asymptotic expansions for the distribution of the maximum of Gaussian random

fields. Extremes 5(2), 181-212

Azaïs J-M., Bardet J-M. & Wschebor M. On the Tails of the distribution of the maximum

of a smooth stationary Gaussian Process. Esaim: P. and S., 2002, 6,177-184

2001

Azaïs J-M. & Wschebor M. On the regularity of the distribution of the maximum of one-parameter Gaussian

processes. Probability Theory and Related Fields, 119, 70-98

1999

Azaïs J-M. & Wschebor M. Régularité de la loi du maximum de processus gaussiens réguliers

C.R. Acad. Sci. Paris, T 328, Série I , 333 – 336.

Calas P., Roch T., Druilhet P. & Azaïs J-M. In vitro adhesion of two strains of Prevotella nigrescens

to the dentin of the root Canal: the part played by the different irrigation solutions.

Journal of Endodontics. 24, 2, 112-115.

Lang, G. & Azaïs, J.-M. Non-parametric estimation of the long-range dependence exponent for Gaussian

processes. Journal of Statistical Planing and Inference 80,59-80.

Azaïs J.-M. & Dortet-Bernardet J-L. Statistical modelling of meiotic configurations in tetraploids.

Biometrical Journal 7, 873-890.

Drton M. & Azaïs J-M. Analyse de la variance non-équirépétée hiérarchique :

comparaison de cinq logiciels. Journal de la SFDS vol140, 1, 23-40.

Azaïs J-M. Cierco, C. & Croquette A. Bounds and asymptotic expansions for the distribution

of the maximum of a smooth Gaussian process. ESAIM : Probability and Statistics, 3, 107-129

1998

Azaïs, J.-M.,Monod, H. & Bailey, R. A. The influence of design on efficiency and validity of neighbour

methods. Biometrics, 54, 1374-1387.

1997

Azaïs J-M. & Wschebor M. Une formule pour calculer la distribution du maximum d’un processus

stochastique. C.R. Acad. Sci. Paris,T 324, Série I , 225 – 230

Azaïs, J.-M.& Druilhet P. Optimality of neighbour balanced design when neighbour effects are neglected.

Journal of Statistical Planing and Inference, 64, 353-367.

Azaïs, J-M.& Wschebor, M. Oscillation presque sûre de martingales continues.

Séminaire de Probabilités XXXI (Azéma Emery Yor ed.), LN 1655}, 69 -76. Springer.

1996

Azaïs J.M. & Wschebor M. Almost sure weak oscillation of certain random processes.

Bernoulli, 2, 257-270

Monod, H., Azaïs, J.-M. & Bailey, R. A. Valid randomization for the first difference model.

Australian Journal of Statistics, 38 , 91 – 106.

1995

Bailey R.A., Azaïs J.-M. & Monod H. Are neighbour methods preferable to analysis of variance for

completely systematic designs? Silly designs are silly. Biometrika, 82, 3, 655-659.

1994

Azaïs, J.-M. Analyse de variance non orthogonale, l’exemple de SAS/GLM.

Rev. Statistique Appliquée, XLII,27-41.

1993

Azaïs J.-M., Bailey R. A. & Monod H. A catalogue of efficient neighbour-designs with border plots.

Biometrics 49, 1252-1261.

1990

Bardin, A. & Azaïs, J.M. Une hypothèse minimale pour une théorie des plans d’expérience randomisés.

{\it Rev. Statistique Appliquée}, 38,21-41.

1987

Azaïs, J.-M. Design of experiments for studying intergenotypic competition.

J.R. Statist. Soc. B. 49, 334-345.