bayes Sentence Examples
- Bayes' theorem provides a framework for updating probabilities based on prior knowledge and observed data.
- Bayesian statistics uses Bayes' rule to make inferences about a population from a sample.
- The Bayes factor quantifies the strength of evidence in support of a hypothesis using Bayes' theorem.
- Bayesian optimization algorithms can maximize functions by iteratively updating their parameters using Bayes' theorem.
- Bayesians argue that prior knowledge should be incorporated into statistical models, while frequentists typically reject this practice.
- Bayesian methods are commonly used in artificial intelligence, machine learning, and finance.
- Bayes' theorem can be applied to problems in probability, statistics, and other fields.
- Bayesian analysis provides a principled way to combine different sources of information.
- Bayesian inference is often more computationally intensive than frequentist inference.
- Bayesians emphasize conditional probabilities, while frequentists emphasize marginal probabilities.
bayes Meaning
Wordnet
bayes (n)
English mathematician for whom Bayes' theorem is named (1702-1761)
Synonyms & Antonyms of bayes
No Synonyms and anytonyms found
FAQs About the word bayes
English mathematician for whom Bayes' theorem is named (1702-1761)
No synonyms found.
No antonyms found.
Bayes' theorem provides a framework for updating probabilities based on prior knowledge and observed data.
Bayesian statistics uses Bayes' rule to make inferences about a population from a sample.
The Bayes factor quantifies the strength of evidence in support of a hypothesis using Bayes' theorem.
Bayesian optimization algorithms can maximize functions by iteratively updating their parameters using Bayes' theorem.
