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You are here		noelwelsh.com Noel Welsh: Simple Isn't Easy
\|	\|	darrenjw.wordpress.com Unbiased MCMC with couplings - Darren Wilkinson's blog	4.3 parsecs away Travel
\|	\|	Yesterday there was an RSS Read Paper meeting for the paper Unbiased Markov chain Monte Carlo with couplings by Pierre Jacob, John O'Leary and Yves F. Atchadé. The paper addresses the bias in MCMC estimates due to lack of convergence to equilibrium (the "burn-in" problem), and shows how it is possible to modify MCMC algorithms...	4.3 parsecs away Travel
\|	\|	qbnets.wordpress.com My Identifiability Checker Works! Verified Judea Pearl's Backdoor and Frontdoor adjustment formulae \| Quantum Bayesian Networks	5.1 parsecs away Travel
\|	\|	My software is working! I am ecstatic. In a previous blog post entitled "Simple, Monte Carlo driven, Pearl-identifiability checker" which I wrote 2 days ago, I described my future plans to add to my software JudeasRx, an "identifiability checker" based on a very efficient and mature MCMC (Markov Chain Monte Carlo) Python software library called...	5.1 parsecs away Travel
\|	\|	isaacslavitt.com Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan	5.2 parsecs away Travel
\|	\|	[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.	5.2 parsecs away Travel
\|	\|	blog.dataumbrella.org Bayesian Data Analysis with BRMS (Bayesian Regression Models Using Stan)	31.6 parsecs away Travel
\|		Quickly build robust models for data analysis and prediction using BRMS	31.6 parsecs away Travel