Marie-Hélène Descary, Université du Québec à Montréal

Research

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

Latest funding

New approaches in Functional Data Analysis: inference for incomplete or correlated data and nonlinear methods
NSERC · 2020 · Principal investigator
$72,000
New approaches in Functional Data Analysis: inference for incomplete or correlated data and nonlinear methods
NSERC · 2020 · Principal investigator
$12,500

All 2 grants and awards

No publications available.

New approaches in Functional Data Analysis: inference for incomplete or correlated data and nonlinear methods

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Descary, Marie-Hélène

Keywords: Covariance operator estimation; Functional data analysis; Functional fragments; Manifold learning; Matrix completion; Nonlinear methodology; Spatially correlated functional data

$72,000

New approaches in Functional Data Analysis: inference for incomplete or correlated data and nonlinear methods

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Descary, Marie-Hélène

$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 2020

Subject: Prospective PhD student Dear Professor Descary, 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 "New approaches in Functional Data Analysis: inference for incomplete or correlated data and nonlinear methods" (2020), 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]