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@GreenwoodLab @SHIPS-SHA @UMDimReduction
turgeonmaxime/README.md

Max Turgeon

I'm an Assistant Professor in the departments of Statistics and Computer Science at the University of Manitoba. My research focuses on dimension reduction methods for high-dimensional data, with a special interest for computationally and statistically efficient methods.

My main computational projects are R packages:

  • casebase for fitting smooth parametric hazards using case-base sampling.
  • pcev implements Principal Component of Explained Variance, a dimension reduction method coupled with a hypothesis-testing framework for two multivariate datasets.
  • rootWishart uses arbitrary-precision linear algebra to compute the distribution of the largest root of single and double Wishart problems.

You can find our research groups repositories here: https://github.com/UMDimReduction.

My Github stats

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  1. 1
    library(tidyverse)
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    library(gganimate)
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    library(mvtnorm)
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    library(rootSolve)
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  2. https://turgeonmaxime.shinyapps.io/EDutilization/

    R

  3. Source code for "STAT 4690 - Fall 2019" webpage

    R 1 1

421 contributions in the last year

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