Outer Web | Explore

Explore >> Select a destination

You are here		isaacslavitt.com Isaac Slavitt: Dirichlet-multinomial model for Skittle proportions
\|	\|	austinrochford.com The Hierarchical Regularized Horseshoe Prior in PyMC3 \| Austin Rochford	7.7 parsecs away Travel
\|	\|	For some time I have been interested in better understanding the horseshoe prior1 by implementing it in PyMC3. The horsehoe prior is a continuous alternative to the spike-and-slab prior for sparse Bay	7.7 parsecs away Travel
\|	\|	twiecki.io whilemy_mcmc:gently(samples) - The Best Of Both Worlds: Hierarchical Linear Regression in PyMC	11.1 parsecs away Travel
\|	\|		11.1 parsecs away Travel
\|	\|	austinrochford.com Bayesian Splines with Heteroskedastic Noise in Python with PyMC3 \| Austin Rochford	9.3 parsecs away Travel
\|	\|	Splines are a powerful tool when modeling nonlinear relationships. This post shows how to include splines in a Bayesian model in Python using pymc3. In addition, we will show how to use a second splin	9.3 parsecs away Travel
\|	\|	blog.minitab.com Regression Analysis: How Do I Interpret R-squared and Assess the Goodness-of-Fit?	85.2 parsecs away Travel
\|		Regression Analysis: How Do I Interpret R-squared and Assess the Goodness-of-Fit?	85.2 parsecs away Travel