maximum likelihood
[ˈmæksɪməm ˈlaɪklɪhuːd]
noun
máxima verossimilhança
1. A statistical method for estimating the parameters of a probability distribution by finding the parameter values that maximize the likelihood function, making the observed data most probable
The researcher used maximum likelihood estimation to fit the regression model to the data.
O pesquisador usou a estimação por máxima verossimilhança para ajustar o modelo de regressão aos dados.
2. In statistics and machine learning, the principle of choosing parameter values that make the observed sample most likely under the assumed statistical model
Maximum likelihood provides a principled approach to parameter estimation in many statistical models.
A máxima verossimilhança fornece uma abordagem fundamentada para a estimação de parâmetros em muitos modelos estatísticos.
This is a technical term widely used in statistical education and research across both Brazilian and Portuguese universities, as well as in international academic contexts. It is fundamental to modern statistical inference and machine learning, particularly in fields like econometrics, biostatistics, and data science. The term maintains the same meaning and usage across English and Portuguese-speaking academic communities.
Related Idioms & Phrases
maximum likelihood estimation (MLE)
maximum likelihood method
likelihood function maximization
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