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 jmlr.org
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
| | isaacslavitt.com
Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan
3.1 parsecs away

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| | [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.
| | darrenjw.wordpress.com
Unbiased MCMC with couplings - Darren Wilkinson's blog
2.7 parsecs away

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| | 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...
| | weisser-zwerg.dev
Series: Monte Carlo Methods
2.5 parsecs away

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| | A series about Monte Carlo methods and generating samples from probability distributions.
| | phdinds-aim.github.io
Chapter 1: AutoRegressive Integrated Moving Average (ARIMA) - Time Series Analysis Handbook
28.3 parsecs away

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