Category: Paris-Saclay campus

noise contrastive estimation

As I was attending Lionel Riou-Durand’s PhD thesis defence in ENSAE-CREST last week, I had a look at his papers (!). The 2018 noice contrastive paper is written with Nicolas Chopin (both authors share the CREST affiliation with me). Which compares Charlie Geyer’s 1994 bypassing the intractable normalising constant problem by virtue of an artificial […]

postdoc position still open

The post-doctoral position supported by the ANR funding of our Paris-Saclay-Montpellier research conglomerate on approximate Bayesian inference and computation remains open for the time being. We are more particularly looking for candidates with a strong background in mathematical statistics, esp. Bayesian non-parametrics, towards the analysis of the limiting behaviour of approximate Bayesian inference. Candidates should […]

Ph.D. scholarships at ENSAE ParisTech‐CREST

ENSAE ParisTech and CREST are currently inviting applications for 3-year PhD scholarships in statistics (and economics, finance, and sociology). There is no constraint of nationality or curriculum, but the supervisor must be from ENSAE (Paris-Saclay) or ENSAI (Rennes-Bruz).  The deadline is May 1, to be sent to Mrs Fanda Traore, at ensae.fr. Applications should submitted […]

position in statistics and/or machine learning at ENSAE ParisTech‐CREST

ENSAE ParisTech and CREST are currently inviting applications for a position of Assistant or Associate Professor in Statistics or Machine Learning. The appointment starts in September, 2019, at the earliest. At the level of Assistant Professor, the position is for an initial three-year term renewable for another three years before the tenure evaluation. Salary is […]

my [homonym] talk this afternoon at CREST [Paris-Saclay]

Christian ROBERT (Université Lyon 1) « How large is the jump discontinuity in the diffusion coefficient of an Itô diffusion?” Time: 3:30 pm – 4:30 pm Date: 04th of March 2019 Place: Room 3105 Abstract : We consider high frequency observations from a one-dimensional diffusion process Y. We assume that the diffusion coefficient σ is continuously differentiable, […]