Po Yang, University of Manitoba

Research

Bayesian approach block design completely randomized design fractional factorial design indicator function model-robust design Optimal design response surface methodology

Latest funding

Optimal Experimental Designs and Response Surface Optimization
NSERC · 2020 · Principal investigator
$108,000
Optimization Problems in Factorial and Response Adaptive Designs
NSERC · 2015 · Principal investigator
$65,000

All 2 grants and awards

Optimal Experimental Designs and Response Surface Optimization

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Yang, Po

Keywords: optimal design; completely randomized design; split-plot design; response surface methodology; sequential design; bayesian approach; fractional factorial design; model-robust design; indicator function; block design

$108,000

Optimization Problems in Factorial and Response Adaptive Designs

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Yang, Po

$65,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

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Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Bayesian approach Dear Professor Yang, 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 approach 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 "Optimal Experimental Designs and Response Surface Optimization" (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]