Johanna Neslehova, McGill University

Research

causal inference copula models dependence modeling empirical processes extreme-value theory multivariate analysis nonparametric methods rank-based inference

Latest funding

Modeling risk in complex systems
NSERC · 2022 · Principal investigator
$111,000
Multivariate Dependence Modeling with Copulas
NSERC · 2015 · Principal investigator
$186,000
Inference for copula-based dependence models with discrete or incomplete data
NSERC · 2010 · Principal investigator
$95,000

All 3 grants and awards

Modeling risk in complex systems

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Neslehova, Johanna

Keywords: copula models; dependence modeling; extreme-value theory; multivariate analysis; nonparametric methods; rank-based inference; causal inference; empirical processes

$111,000

Multivariate Dependence Modeling with Copulas

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Neslehova, Johanna

$186,000

Inference for copula-based dependence models with discrete or incomplete data

Principal investigatorNSERC2010Discovery Grants Program - Individual

Principal investigators: Neslehova, Johanna

$95,000

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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Mention their NSERC grant from 2022

Subject: Prospective PhD student: causal inference Dear Professor Neslehova, 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 causal inference 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 "Modeling risk in complex systems" (2022), 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]