Elina Robeva, University of British Columbia

Research

Algebraic Statistics Density Estimation Directed Graphical Models Markov Equivalence Multivariate Total Positivity Orthogonal Tensor Decompositionels Tensor Decompositions Tensor Network States

Latest funding

Statistical Estimation under Nonlinear Algebraic Constraints
NSERC · 2020 · Principal investigator
$12,500
Statistical Estimation under Nonlinear Algebraic Constraints
NSERC · 2020 · Principal investigator
$145,000

All 2 grants and awards

Statistical Estimation under Nonlinear Algebraic Constraints

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Robeva, Elina

$12,500

Statistical Estimation under Nonlinear Algebraic Constraints

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Robeva, Elina

Keywords: algebraic statistics; tensor decompositions; tensor rank; orthogonal tensor decompositionels; tensor network states; directed graphical models; markov equivalence; density estimation; multivariate total positivity; triangulations and subdivisions

$145,000

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: Algebraic Statistics Dear Professor Robeva, 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 algebraic statistics 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 "Statistical Estimation under Nonlinear Algebraic Constraints" (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]