Jean-François Quessy, Université du Québec à Trois-Rivières

Research

Asymptotic theory Characteristic functions Copula models Gradual-change model Multivariate analysis Non-monotone regression Rank statistics Resampling techniques

Latest funding

High-dimensional hierarchical data with complex dependence structures
NSERC · 2023 · Co-investigator
$90,000
Chemosensation in Parkinson's disease: Trigeminal sensitivity as a potential marker
CIHR · 2020 · Co-investigator
$837,676
Formal statistical tools for the dependence modeling of environmental data
NSERC · 2019 · Principal investigator
$216,000

All 6 grants and awards

High-dimensional hierarchical data with complex dependence structures

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Nasri, Bouchra BN

Keywords: copulas; dependence modelling; hierarchical data; high-dimensional data; latent factors; mixed effect models

$90,000

Chemosensation in Parkinson's disease: Trigeminal sensitivity as a potential marker

Co-investigatorCIHR2020Project Grant

Principal investigators: Frasnelli, Johannes

Keywords: Behavioral Testing; Electrophysiology; Olfaction; Parkinson'S Disease; Trigeminal System

$837,676

Formal statistical tools for the dependence modeling of environmental data

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Quessy, Jean-François

Keywords: multivariate analysis; copula models; tests of composite & shape hypotheses; characteristic functions; spatial dependence; non-monotone regression; gradual-change model; rank statistics; resampling techniques; asymptotic theory

$216,000

Copulas: theory, models and methods in new directions

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Quessy, JeanFrançois

$115,000

Statistical procedures for composite hypotheses involving copulas

Principal investigatorNSERC2009Discovery Grants Program - Individual

Principal investigators: Quessy, JeanFrançois

$117,500

Dependence modeling via copulas: inference, theoretical study and applications

Principal investigatorNSERC2006Discovery Grants Program - Individual

Principal investigators: Quessy, JeanFrançois

$42,000

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: Asymptotic theory Dear Professor Quessy, 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 asymptotic theory 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 "Formal statistical tools for the dependence modeling of environmental data" (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]