activity
20142019
most citedInterpretation and approximation tools for big, dense Markov chain transition matrices in ecology and evolution

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

math.PR2019

On smooth mesoscopic linear statistics of the eigenvalues of random permutation matrices

Valentin Bahier, Joseph Najnudel

We study the limiting behavior of smooth linear statistics of the spectrum of random permutation matrices in the mesoscopic regime, when the permutation follows one of the Ewens me…

math.PR2018

On a limiting point process related to modified permutation matrices

Valentin Bahier

We consider random permutation matrices following a one-parameter family of deformations of the uniform distribution, called Ewens' measures, and modifications of these matrices wh…

math.PR2018

Characteristic polynomials of modified permutation matrices at microscopic scale

Valentin Bahier

We study the characteristic polynomial of random permutation matrices following some measures which are invariant by conjugation, including Ewens' measures which are one-parameter…

math.PR2016

On the number of eigenvalues of modified permutation matrices in mesoscopic intervals

Valentin Bahier

We are interested in two random matrix ensembles related to permutations: the ensemble of permutation matrices following Ewens' distribution of a given parameter , and its mod…

q-bio.QM2014★ 1 cited

Interpretation and approximation tools for big, dense Markov chain transition matrices in ecology and evolution

Katja Reichel, Valentin Bahier, Cédric Midoux +2

Markov chains are a common framework for individual-based state and time discrete models in ecology and evolution. Their use, however, is largely limited to systems with a low numb…