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You are here		gregorygundersen.com Pólya-Gamma Augmentation
\|	\|	tiao.io A Primer on Pólya-gamma Random Variables - Part II: Bayesian Logistic Regression \| Louis Tiao	3.8 parsecs away Travel
\|	\|	One weird trick to make exact inference in Bayesian logistic regression tractable.	3.8 parsecs away Travel
\|	\|	finnstats.com Nonlinear Regression Analysis in R » finnstats	11.4 parsecs away Travel
\|	\|	Nonlinear Regression Analysis in R. We learned about R logistic regression and its applications, as well as MLE line estimation and NLRM.	11.4 parsecs away Travel
\|	\|	fa.bianp.net Numerical optimizers for Logistic Regression	10.9 parsecs away Travel
\|	\|	MathJax.Hub.Config({ extensions: ["tex2jax.js"], jax: ["input/TeX", "output/HTML-CSS"], tex2jax: { inlineMath: [ ['$','$'], ["\$","\$"] ], displayMath: [ ['$$','$$'], ["\\[","\\]"] ], processEscapes: true }, TeX: { equationNumbers: { autoNumber: "AMS" }, extensions: ["AMSmath.js", "AMSsymbols.js"] }, "HTML-CSS": { fonts: ["TeX"] } }); In this post I compar several implementations of Logistic Regression. The task was to implement a Logistic Regression model using standard optimization ...	10.9 parsecs away Travel
\|	\|	christopher-beckham.github.io EDM diffusion models - a Jupyter implementation, and how they are implemented in practice \| Christopher Beckham, PhD	81.6 parsecs away Travel
\|		I wrote a self-contained implementation of NVIDIA's EDM diffusion model in a Jupyter notebook, as well as its associated sampling algorithms. I also discuss the rather confusing names used for real-world implementations of those algorithms.	81.6 parsecs away Travel