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 phdinds-aim.github.io
Chapter 1: AutoRegressive Integrated Moving Average (ARIMA) - Time Series Analysis Handbook
| | jakevdp.github.io
The Model Complexity Myth | Pythonic Perambulations
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| | austinrochford.com
R² Priors for High-Dimensional Linear Regression and Autoregressive Timeseries in PyMC | Austin Rochford
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| | I recently read the interesting paper The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions on the arXiv and followed its references to the also fascinating Bayesian Regre
| | isaacslavitt.com
Isaac Slavitt: My talk on scikit-learn at Statistical Programming DC
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| | [AI summary] The provided text is a detailed tutorial on using scikit-learn for machine learning tasks, including data preprocessing, model selection, cross-validation, and pipeline creation. It also touches on integrating R and Julia with Python through Jupyter notebooks.
| | aurimas.eu
statistics - @aurimas
35.3 parsecs away

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| [AI summary] The post discusses advanced statistical methods for Bayesian A/B testing, including Gaussian Processes and tenure effect modeling, with a specific application to analyzing basketball statistics.