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 dm13450.github.io
Julia Code for Sampling an AR(1) model | Dean Markwick
| | statsandr.com
A guide on how to read statistical tables - Stats and R
5.4 parsecs away

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| | Learn how to use a Shiny app to compute probabilities for different probability distributions, used as a guide to read the most common statistical tables
| | sriku.org
Generating values that fit a probability distribution | Codaholic
4.3 parsecs away

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| | [AI summary] The article explains how to generate random numbers that follow a specific probability distribution using a uniform random number generator, focusing on methods involving inverse transform sampling and handling both continuous and discrete cases.
| | isaacslavitt.com
Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan
5.8 parsecs away

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| | [AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan.
| | wittchen.io
Publishing Python package to PyPi | Piotr Wittchen
25.9 parsecs away

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| Introduction I have my own tiny Python project called spotify-cli-linux, which is (surprise!) command line interface for Spotify desktop app on Linux. Python is not my primary programming language and I work more with Java. Nevertheless, I find this language enjoyable and useful in many cases, so I try to learn something new about it from time to time. In the beginning, I've provided instructions how to install my Python script in the system via curl and wget, which is fine, but it's not recommended and ...