Michelle Ferreira Miranda, University of Victoria

Research

Bayesian models Functional regression Principal components Shrinkage priors Wavelets

Latest funding

Modelling modern data objects: statistical methods for high-dimensionality and intricate correlation structures
NSERC · 2020 · Principal investigator
$90,000

All 1 grants and awards

Modelling modern data objects: statistical methods for high-dimensionality and intricate correlation structures

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Ferreira Miranda, Michelle

Keywords: bayesian models; wavelets; principal components; shrinkage priors; functional regression

$90,000

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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Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Bayesian models Dear Professor Ferreira Miranda, 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 bayesian models 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 "Modelling modern data objects: statistical methods for high-dimensionality and intricate correlation structures" (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]