<h1>modelconvergence.com</h1>

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<p><strong>Definition:</strong> In data analysis, a model typically represents a set of mathematical equations which describe the behavior of an object of study.  When the behavior is stochastic, the model may "converge" if a sequence of essentially random or unpredictable events settles into a pattern.  Convergence of an MCMC model also plays an important role in Bayesian statistics.</p>

<p><strong>Meta interpretation:</strong> The community converges to the best answer to a question by voting up answers that are useful/correct and voting down answers that are not useful/correct.</p>

<p><strong>Related stats questions:</strong> <a href="https://stats.stackexchange.com/questions/507/what-is-the-best-method-for-checking-convergence-in-mcmc">1</a> <a href="https://stats.stackexchange.com/questions/2230/convergence-in-probability-vs-almost-sure-convergence">2</a></p>
