GitHub Pages

Jérôme's Notes

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  1. BCa Bootstrap

    Bias-corrected and accelerated bootstrap notes

  2. Asymptotic Normality

    Notes on asymptotic normality

  3. Block Randomization

    Notes on block randomization

  4. Cox-Snell R2 from C-stat

    Deriving Cox-Snell R2 from the C statistic

  5. Deep Learning Exercises

    Exercise notes from deep learning study

  6. Fast Fourier Transform

    Notes on the fast Fourier transform

  7. Fisher Group Sequential Designs

    Notes on Fisher exact tests in sequential designs

  8. LaTeX Units

    Notes and utilities for LaTeX units

  9. Metropolis-Hastings Algorithm

    Notes on the Metropolis-Hastings algorithm

  10. Nielsen 2015 Neural Net

    Notes on Nielsen's neural networks text

  11. Nonparametric Equivalence Test

    Notes on nonparametric equivalence testing

  12. Nonparametric Median Test

    Notes on the nonparametric median test

  13. Perceptron

    Notes on the perceptron

  14. Robust Regression

    Notes on robust regression

  15. Score Process

    Notes on score processes

  16. Two-Sample U-Statistic CLT

    Notes on a two-sample U-statistic central limit theorem

  17. Win Ratio

    Notes on win ratio methods