Jacques Benasseni
Université Rennes 2
Bureau A326
Professeur des universités en "Mathématiques appliquées et applications des mathématiques" (CNU Section 26) à l'université Rennes 2 depuis le 1er septembre 1993.
Deux thématiques principales:
Statistique multidimensionnelle
Algèbre linéaire.
Publications depuis 2002:
Bénasséni J., A. Mom (2019): « Inequalities for the eigenvectors associated to extremal eigenvalues in rank one perturbations of symmetric matrices ». Linear Algebra and its Applications, Vol. 570, p.123-137.
Bénasséni J. (2018): « A correction of approximations used in sensitivity study of principal component analysis ». Computational Statistics, Vol.33, p.1939-1955.
Bénasséni J. (2014): "Sensitivity of principal component subspaces: A comment on Prendergast's paper". Electronic Journal of Statistics, Vol. 8, p.927-930.
Bénasséni J. (2013): “A concentration approach to sensitivity studies in estimation problems”. Journal of Applied Statistics, Vol. 40 (10), p. 2163-2180.
Bénasséni J. (2012) : « A new derivation of eigenvalue inequalities for the multinomial distribution ». Journal of Mathematical Analysis and Applications, Vol.393, p.697-698.
Bénasséni J., Bennani Dosse M. (2012) : « Analyzing multiset data by the Power STATIS-ACT method ». Advances in Data Analysis and Classification, Vol.6(1), p.49-65.
Bénasséni J. (2011): « Lower bounds for the largest eigenvalue of a symmetric matrix under perturbations of rank one ». Linear and Multilinear Algebra, Vol.59(5), p.565-569.
Bénasséni J. (2010): « On the algebraic relation between principal components corresponding to two different sets of weights ». Linear and Multilinear Algebra, Vol.58(4), p.425-429.
Bénasséni J., Bennani Dosse M. & Joly S. (2007): «On a general transformation making Euclidean a dissimilarity matrix ». Journal of Classification, Vol.24(1), p.33-51. .
Bénasséni J. (2006) : « A variance inequality ensuring that a predistance matrix is Euclidean”. Linear Algebra and its Applications, Vol. 416, p.365-372.
Bénasséni J. (2005): «A concentration study of principal components». Journal of Applied Statistics, Vol. 32(9), p.947-957.
Bénasséni J. (2002): «A complementary proof of and eigenvalue property in correspondence analysis». Linear Algebra and its Applications, Vol.354, p.49-51.