BIC
1
8.9
- noun
- /biː aɪ siː/
- Specialized
- The BIC was preferred over the adjusted BIC because of its better performance with continuous outcomes.
- BIC value
- low BIC
- BIC model
Examples
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The optimal model for men and women was selected based on a combination of a reasonably low BIC value and theoretical and practical considerations.
Academic text (2010) -
A model with a lower BIC value performs better in terms of taking into account both fit and parsimony.
Academic text (2018) -
For each model, we examined BIC scores.
Academic text (2005) -
So now with let's see with the BIC criterion.
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A lower BIC indicates a better-fitting model.
Academic text (2014) -
Because of the large sample size, the BIC value continued to decrease with an increased number of trajectories.
Academic text (2010) -
According to Cohen, Cohen, West, and Aiken (2003), lower AICs and BICs mean that a model is considered to be more likely to be the true model.
Academic text (2013) -
The researchers calculated the BIC for each statistical model to determine which one had the best balance between complexity and fit.
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In their study, the team found that minimizing the BIC helped them select the most appropriate model.
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To compare the various models, they reported their respective BIC values to find the one that best captured the data without overfitting.
Surface Forms
Morphology
BIC = B + I + C
This is an acronym (letters B, I, C); the letters are not meaningful English morphemes and do not allow a learner to derive the definition from component parts.
Etymology
BIC stands for Bayesian Information Criterion, and the last word criterion means 'rule' or 'test'. So, BIC is a rule for choosing models that tries to 'balance' how well a model fits the data with how simple the model is.