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@tesera @GreenwoodLab @SHIPS-SHA @UMDimReduction

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turgeonmaxime/README.md

Max Turgeon

I am a data scientist working for Tesera Systems.

I also hold an adjunct position in the department of Statistics at the University of Manitoba. My research focuses on dimension reduction methods for complex high-dimensional data, with a special interest for computationally and statistically efficient methods. You can find the code repositories for some of our projects here on Github.

My main computational projects are R packages:

  • casebase for fitting smooth parametric hazards using case-base sampling.
  • biomasscan for estimating the above-ground biomass in individual trees using Canadian allometric equations.
  • 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.

My Github stats Top Langs

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  1. GreenwoodLab/funtooNorm GreenwoodLab/funtooNorm Public

    R 6 7

  2. GreenwoodLab/pcev GreenwoodLab/pcev Public

    R 4 3

  3. sahirbhatnagar/casebase sahirbhatnagar/casebase Public

    R 9 5

  4. Animation of geometry of PCA Animation of geometry of PCA
    1
    library(tidyverse)
    2
    library(gganimate)
    3
    library(mvtnorm)
    4
    library(rootSolve)
    5
    
                  
  5. EDutilization EDutilization Public

    https://turgeonmaxime.shinyapps.io/EDutilization/

    R 1

  6. f19-stat4690 f19-stat4690 Public

    Source code for "STAT 4690 - Fall 2019" webpage

    R 2 2