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Convergence Diagnostics
Methods used to assess whether an iterative algorithm, like those used in MCMC or other Bayesian techniques, has converged to a stable solution.
Implications
Methods used to assess whether a statistical model or iterative algorithm has reached convergence, indicating that further iterations are unlikely to change the results, often used in Bayesian analysis and MCMC methods.
Example
Example: A data scientist uses convergence diagnostics to confirm that their Bayesian model has stabilized, ensuring the results are reliable and not influenced by ongoing changes in the data.
Related Terms
Different from simple error checking, convergence diagnostics specifically test whether an iterative process has reached a stable solution.
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