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 weisser-zwerg.dev
Series: Monte Carlo Methods
| | isaacslavitt.com
Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan
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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.
| | 667-per-cm.net
Markov Chain Monte Carlo methods and logistic regression | 667 per centimeter
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| | This post could also be subtitled "Residual deviance isn't the whole story." My favorite book on logistic regression is by Dr Joseph Hilbe, Logistic Regression Models, CRC Press, 2009, Chapman & Hill. It is a solidly frequentist text, but its discussion of models and rich examples make that besides the point. Except in one case....
| | noelwelsh.com
Noel Welsh: Simple Isn't Easy
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| | glowingpython.blogspot.com
The Glowing Python: Kernel Density Estimation with scipy
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| This post continues the last one where we have seen how to how to fit two types of distribution functions (Normal and Rayleigh). This time ...