Vincent Granville's Blog – December 2020 Archive (4)

Opening a New Restaurant in Covid Times

I am a data scientist, and decided to open a restaurant last November, 10 days before the governor in my state banned dining-in (who knows for how long) and customers were already rare. Some data scientists in managerial positions dream about exiting the corporate world and envied me, at least before the Covid, when I told them my plan.

Here I explore the options and opportunities available, and this article reflects my optimism. I will also discuss analytics in some detail. The…


Added by Vincent Granville on December 22, 2020 at 9:44pm — No Comments

Amazing Things You Did Not Know You Could Do in Excel

I have included a lot of Excel spreadsheets in the numerous articles and books that I have written in the last 10 years, based either on real life problems or simulations to test algorithms, and featuring various machine learning techniques. It is time to create a new blog series focusing on these useful techniques that can easily be handled with Excel. Data scientists typically use programming languages and other visual tools for these techniques, mostly because they are unaware that it can…


Added by Vincent Granville on December 16, 2020 at 8:00pm — 1 Comment

All-purpose, Robust, Fast, Simple Non-linear Regression


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Added by Vincent Granville on December 16, 2020 at 9:22am — No Comments

New Tests of Randomness and Independence for Sequences of Observations

There is no statistical test that assesses whether a sequence of observations, time series, or residuals in a regression model, exhibits independence or not. Typically, what data scientists do is to look at auto-correlations and see whether they are close enough to zero. If the data follows a Gaussian distribution, then absence of auto-correlations implies independence. Here however, we are dealing with non-Gaussian observations. The setting is similar to testing whether a pseudo-random…


Added by Vincent Granville on December 2, 2020 at 4:30pm — No Comments

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