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You are here		sumsar.net Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman \| Rasmus Bååth's blog
\|	\|	iambecomecomputational.com Introduction to an Introduction to Approximate Bayesian Computation (ABC) - i am become computational	9.6 parsecs away Travel
\|	\|	Last week I re-blogged a post introducing Approximate Bayesian Computation. I thought some of the content was a little foreign, so I wanted to give an intro to the intro. ABC core concept Say we have a process that is controlled by a parameter - say the slope in $latex y = m\cdot x+b$, or...	9.6 parsecs away Travel
\|	\|	honglangwang.wordpress.com Empirical Likelihood meets Bayesian Analysis \| Honglang Wang's Blog	11.2 parsecs away Travel
\|	\|	The core idea of Empirical Likelihood (EL) is to use a maximum entropy discrete distribution supported onthe data points and constrained by estimating equations related with the parameters of inte...	11.2 parsecs away Travel
\|	\|	astroautomata.com A tutorial on simulation-based inference - Astro Automata	8.4 parsecs away Travel
\|	\|	Automating Scientific Discovery	8.4 parsecs away Travel
\|	\|	austinrochford.com The Hierarchical Regularized Horseshoe Prior in PyMC3 \| Austin Rochford	33.6 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	33.6 parsecs away Travel