Florian Maire, Université de Montréal

Research

Asymptotic analysis Bayesian Inference Big Data Dimension reduction Expectation-Maximization algorithms High dimensional models Markov chain Monte Carlo methods Stability of approximations

Latest funding

Approximations of computationally intensive statistical learning algorithms: theory and methods
NSERC · 2019 · Principal investigator
$12,500
Approximations of computationally intensive statistical learning algorithms: theory and methods
NSERC · 2019 · Principal investigator
$112,200

All 2 grants and awards

Approximations of computationally intensive statistical learning algorithms: theory and methods

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Maire, Florian

$12,500

Approximations of computationally intensive statistical learning algorithms: theory and methods

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Maire, Florian

Keywords: statistical inference; high dimensional models; big data; markov chain monte carlo methods; expectation-maximization algorithms; stochastic approximation; bayesian inference; asymptotic analysis; dimension reduction; stability of approximations

$112,200

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Mention their NSERC grant from 2019

Subject: Prospective PhD student: Asymptotic analysis Dear Professor Maire, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on asymptotic analysis connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Approximations of computationally intensive statistical learning algorithms: theory and methods" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]