parameter estimation
[/pəˈræmɪtər ˌɛstɪˈmeɪʃən/]
nounpl: parameter estimations
estimação de parâmetros
1. The process of determining the values of parameters in a statistical model or mathematical equation using observed data
Parameter estimation is crucial in machine learning to fit models to training data.
A estimação de parâmetros é crucial no aprendizado de máquina para ajustar modelos aos dados de treinamento.
2. A statistical technique to infer unknown values of model coefficients or constants from empirical observations
Bayesian parameter estimation provides probabilistic estimates of model parameters.
A estimação bayesiana de parâmetros fornece estimativas probabilísticas dos parâmetros do modelo.
3. The computational method of finding optimal parameter values that minimize error or maximize likelihood in a model
Maximum likelihood estimation is a common approach to parameter estimation.
A estimação de máxima verossimilhança é uma abordagem comum para estimação de parâmetros.
This is a technical term widely used in statistics, engineering, and machine learning across both Brazilian and American academic institutions. In Brazil, it's commonly used in universities and tech companies working on data science and statistical modeling. The term maintains the same meaning and usage in both English and Portuguese-speaking countries.
Related Idioms & Phrases
parameter estimation problem
parameter estimation algorithm
parameter estimation error
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