Mylène Bédard, Université de Montréal

Research

Adaptive MCMC Asymptotic behavior Computational effort Copulas and correlated targets Global and local optimization Local balance condition Metropolis-Hastings sampler Modeling in finance and ecology

Latest funding

Markov chain Monte Carlo algorithms and locally informed proposal distributions
NSERC · 2019 · Principal investigator
$120,000
Studying, Improving, and Applying Markov chain Monte Carlo methods
NSERC · 2014 · Principal investigator
$70,000
Efficiency of Markov chain Monte Carlo methods
NSERC · 2008 · Principal investigator
$70,000

All 4 grants and awards

Markov chain Monte Carlo algorithms and locally informed proposal distributions

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Bédard, Mylène

Keywords: Adaptive MCMC; Asymptotic behavior; Computational effort; Copulas and correlated targets; Global and local optimization; Local balance condition; Metropolis-Hastings sampler; Modeling in finance and ecology; Proposal scheme; Reversible-jump Markov chain Monte Carlo

$120,000

Studying, Improving, and Applying Markov chain Monte Carlo methods

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Bédard, Mylène

$70,000

Efficiency of Markov chain Monte Carlo methods

Principal investigatorNSERC2008Discovery Grants Program - Individual

Principal investigators: Bédard, Mylène

$70,000

Efficiency of Markov chain Monte Carlo methods

Principal investigatorNSERC2007Discovery Grants Program - Individual

Principal investigators: Bédard, Mylène

$12,000

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 2019

Subject: Prospective PhD student: Adaptive MCMC Dear Professor Bédard, 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 adaptive mcmc 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 "Markov chain Monte Carlo algorithms and locally informed proposal distributions" (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]