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djalil.chafai.net | ||
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setosa.io
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| | | | | [AI summary] A visual and practical explanation of Markov Chains, covering concepts like state spaces and transition matrices, with examples in weather modeling and Google's search algorithm. | |
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darrenjw.wordpress.com
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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... | |
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jmlr.org
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djalil.chafai.net
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| | | This post is devoted to few convex and compact sets of matrices that I like. The set \( {\mathcal{C}_n} \) of correlation matrices. A real \( {n\times n} \) matrix \( {C} \) is a correlation matrix when \( {C} \) is symmetric, semidefinite positive, with unit diagonal. This means that \[ C_{ii}=1, \quad C_{ji}=C_{ji},\quad \left\geq0 \] for every \(... | ||