Michaël Lalancette, Université du Québec à Montréal

Research

Read how they describe their research on their Université du Québec à Montréal profile.

Latest funding

Nonparametric learning for extremal graphical models
NSERC · 2024 · Principal investigator
$30,000
Nonparametric learning for extremal graphical models
NSERC · 2024 · Principal investigator
$12,500

All 2 grants and awards

No publications available.

Nonparametric learning for extremal graphical models

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Lalancette, Michaël

Keywords: extreme value theory; graphical models; high-dimensional statistics; structure learning; nonparametrics; latent tree models; asymptotic independence; concentration inequalities

$30,000

Nonparametric learning for extremal graphical models

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Lalancette, Michaël

Keywords: extreme value theory; graphical models; high-dimensional statistics; structure learning; nonparametrics; latent tree models; asymptotic independence; concentration inequalities

$12,500

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 2024

Subject: Prospective PhD student Dear Professor Lalancette, 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 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 "Nonparametric learning for extremal graphical models" (2024), 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]