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Mastering the Poisson Distribution: Intuition and Foundations

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Extreme TLDR:
Explore the Poisson distribution for modeling count data in cases like online marketplaces, sports, and queuing. Understand its formula, assumptions, and when to use it, while considering limitations like overdispersion. Extensions include time-varying and mixed Poisson distributions to address real-life deviations. Aim for simplicity or Bayesian models for inference.

https://towardsdatascience.com/mastering-the-poisson-distribution-intuition-and-foundations/

Succinct Data Structures

User discovered succinct data structures while seeking ways to optimize code, encountering challenges in understanding complex concepts. After reaching out to expert Gonzalo Navarro for clarification, the user became intrigued by succinct data structures, which store data compactly while allowing efficient operations without decompression, unlike traditional compression. The article explores different types of succinct data structures and their applications, particularly in Rust, discussing bit vectors, rank/select bit vectors, wavelet matrices, FM-indexes, and a balanced parentheses tree, highlighting their benefits in memory efficiency and performance for various programming tasks.

https://blog.startifact.com/posts/succinct/

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