BIC
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
BIC
About this calculator
The BIC calculator is a useful tool for statisticians and data scientists who need to evaluate the quality of regression models. The underlying formula is simple, but the application can be complex.
BIC is a model selection method that takes into account the complexity of the model, as well as the quality of the fit. It is especially useful in situations where there are a large number of variables and it is difficult to choose a model based solely on the quality of the fit.
To use the BIC calculator, you need to provide the values of k (number of model parameters), n (sample size) and L (logarithm of the probability of data). The calculator will then calculate the BIC value and provide an indication of which model is the best.
Frequently asked questions
What is BIC?
BIC (Bayesian Information Criterion) is a model selection method that takes into account the complexity of the model, as well as the quality of the fit.
When to use the BIC calculator?
Use the BIC calculator when you need to evaluate the quality of regression models and decide which model is the best for your application.
How to provide the values of k, n and L?
Provide the values of k (number of model parameters), n (sample size) and L (logarithm of the probability of data).