OpenAlex | Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

Work

Year: 2004

Type: article

Abstract: We show that the `naive Bayes' classifier which assumes independent covariates greatly outperforms the Fisher linear discriminant rule under broad conditions when the number of variables grows faster ... more

Source: Bernoulli

Authors Peter J. Bickel, Elizaveta Levina

Institutions University of California, Berkeley, University of Michigan–Ann Arbor

Cites: 11

Cited by: 575

Related to: 10

FWCI: 11.85

Citation percentile (by year/subfield): 100

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Reduced inequalities

Open Access status: bronze