sample-based inference
[/ˈsæmpəl beɪst ɪnˈfɛrəns/]
nounpl: sample-based inferences
inferência baseada em amostragem
1. A statistical method that uses samples or simulations drawn from a probability distribution to approximate properties of that distribution or to perform statistical inference without analytical solutions
Markov Chain Monte Carlo is a common technique for sample-based inference in Bayesian statistics.
Cadeia de Markov Monte Carlo é uma técnica comum para inferência baseada em amostragem na estatística bayesiana.
2. The process of making conclusions about a population or system based on representative samples rather than exhaustive data analysis
Sample-based inference allows researchers to estimate population parameters with computational efficiency.
A inferência baseada em amostragem permite que pesquisadores estimem parâmetros populacionais com eficiência computacional.
This is a specialized technical term primarily used in academic and professional contexts within statistics, machine learning, and computational sciences. It is commonly used in Brazilian universities and research institutions, particularly in computer science and statistics departments. The term reflects the modern computational approach to statistics that has become prevalent in the 21st century, contrasting with classical analytical methods.
Related Idioms & Phrases
drawing inferences from samples
statistical sampling methods
approximating distributions through sampling
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