Viewing profile — e10v_me

> I think they'll only serve to create a barrier for junior developers. I proposed some ideas how to lower entry barriers: https://e10v.me/matching-markets-congestion/#entry-barrie…

In one of my previous posts, I discussed congestion in the job market caused by the surge of AI tools that scrape job descriptions and auto-apply to jobs. Since that post, another …

I'm surprised by how many people has fallen for that. I also wonder how many of them are the author's friends or bots.

I published a practical comparison of Python packages for A/B test analysis: tea-tasting, Pingouin, statsmodels, and SciPy. Instead of choosing a single "best" tool, I break down w…

I was thinking about the labor market congestion problem and came up with a solution that is often used in service marketplaces: pay to apply. Then I asked myself what this solutio…

Funny, the same) When I was switching from R (data.table) to Python, it was painful. Not only because it was slow, but because of the API. At that time, I thought that maybe it's b…

Congrats! What’s impressive is not just the speed of the tools Astral develops but also the speed of delivery. I wonder, if you plan to extend the functionality of building and pub…

Here’s another take on the Dunning–Kruger effect. I made two main points: 1. Consider N independent observations of two variables, X1 and X2, with imperfect correlation. Next, we a…

Thank you for explanation and for drawing a vivid picture) I will add FWER and FDR to the roadmap. Which specific controlling procedures do you find the most useful on practice? I'…

Thank you for explanation. If I understand correctly, you use this approach to increase sensitivity (compared to NHST) using the same data . Most probably, in your case, higher sen…

Thank you, I'm aware of this. But I don't understand how your link answers my previous message. I was asking for example of how to fit it using only aggregated statistics (focus on…

You would need probability distributions anyway. In Python, SciPy is the most mature and popular package with probability distributions. And it depends on NumPy. But I'll gladly co…

I thought about multiple comparison corrections. Here what my thoughts were: 1. Experiments with 3 or more variants are quite rare in my practice. I usually try to avoid them. 2. I…

Thank you! I hope it will be useful for you. Regarding your question, first, I'd like to understand what problem you want to solve, and whether this approach will be useful for oth…

Thank you. I will think about it. There are many different things I can add. The idea is to focus on the most needed features first. And the word "exotic" tells for itself ;)

Not at the moment. If you have a specific method in mind, I will gladly look into it.

> Most common statistical software (e.g. statsmodels) will support this grouped format. Interesting, I didn't know this about statsmodels. But maybe documentation a bit misleading:…

CUPED is easier than stratifying users. Or, probably, you mean post-stratification. Still, CUPED is easier, on my personal opinion :)

I will consider it. Thank you for the suggestion.

I cannot agree more. It's one of the reasons I've developed the package. With tea-tasting, I can save time and focus on the more important tasks, like experiment design.

Thank you for the interest and for the suggestion. Yes, one can analyze A/B tests in a regression framework. In fact, CUPED is an equivalent to the linear regression with a single …