| Naive k-means |
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| Student's t-test flavors |
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| An introduction to the curiously repeating template pattern |
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| R squared and multiple regression |
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| Maximum likelihood and Bayesian estimators for Bayesian networks |
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| Deriving the Fokker-Planck equation |
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| The LogSumExp trick |
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| A pedagogical introduction to the determinant |
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| Maximum likelihood estimation of autoregressive model parameters |
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| Standardizing a random vector and applications |
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| Motivating the cross-entropy loss |
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| Updating the Cholesky decomposition of a matrix |
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| Softmax sensitivity to temperature |
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| Replicate Travis CI builds on your local machine |
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| lazy-table - A python-tabulate wrapper for producing tables from generators |
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| Multivariate Taylor's Theorem |
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| Gigabyte RTX 3090 glmark2 score |
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| Brownian bridge |
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| Maximum likelihood estimation of geometric Brownian motion parameters |
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| Principal component analysis - part two |
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| Motivating the Poisson distribution |
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| Principal component analysis - part one |
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| Generating finite difference coefficients |
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| mlinterp - Fast arbitrary dimension linear interpolation in C++ |
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| Octave Financial 0.5.0 released |
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| SDEs and Monte Carlo in Octave Financial |
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| Closed-form expressions for perpetual and finite-maturity American binary options |
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| Introduction to the FFT |
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