divergent estimator
[/daɪˈvɜrdʒənt ɛˈstɪmeɪtər/]
nounpl: divergent estimators
estimador divergente
1. A statistical estimator whose expected value or variance does not converge to the true parameter value as the sample size increases, or whose distribution does not stabilize
The estimator proved to be divergent as larger samples only increased the variance without improving accuracy.
O estimador provou ser divergente, pois amostras maiores apenas aumentavam a variância sem melhorar a precisão.
2. In machine learning and statistics, an estimator that fails to converge to optimal parameters during training or estimation procedures
The algorithm produced a divergent estimator that continued to oscillate rather than reach convergence.
O algoritmo produziu um estimador divergente que continuava a oscilar em vez de atingir convergência.
This is a technical term primarily used in academic and professional contexts within statistics, econometrics, and machine learning fields. It has no significant cultural variation between Brazil, Portugal, or the USA, and is used consistently across English and Portuguese-speaking scientific communities.
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