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juliasilge.com
| | matbesancon.xyz
4.7 parsecs away

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| | Learning by doing: detecting fraud on bank notes using Python in 3 steps.
| | jmablog.com
4.2 parsecs away

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| | www.markhw.com
4.6 parsecs away

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| | [AI summary] The blog post discusses modeling variance in data using the gamlss package in R, focusing on the user's film ratings over time. It highlights how the standard deviation of ratings increases with the release year of films, reflecting the user's movie selection habits. The analysis shows that older films have higher average ratings and lower variability, while newer films have lower average ratings and higher variability. The post emphasizes the importance of considering variance in social phenomena and provides practical examples using R for data visualization and statistical modeling.
| | www.nicholas-ollberding.com
29.6 parsecs away

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| Inherent limitations with one-at-a-time (OaaT) feature testing (i.e., single feature differential abundance analysis) have contributed to the increasing popularity of mixture models for correlating microbial features with factors of interest (i.