Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

The 'small n problem' in sports research. #8

Open
jesse-jesse opened this issue Mar 3, 2017 · 1 comment
Open

The 'small n problem' in sports research. #8

jesse-jesse opened this issue Mar 3, 2017 · 1 comment

Comments

@jesse-jesse
Copy link
Contributor

No description provided.

@cdrovandi
Copy link

Bayesian methods are quite useful here for 2 reasons:

  • prior information from past studies or experts can be incorporated
  • Bayesian methods lead to shrinkage in regression coefficients, avoiding overfitting when the number of predictors is greater than the number of observations.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants