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willieneis.github.io | ||
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isaacslavitt.com
[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. |
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darrenjw.wordpress.com
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... |
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jmlr.org
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freerangestats.info
A few specific notes on technical issues relating to a previous post. On drawing network graphs with different coloured edges; modelling strategy; different specifications of models; and accessing UN SDG and gender inequality data. |
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