# Questions tagged [bic]

BIC is an acronym for Bayesian Information Criterion. BIC is one method of model comparison. See also AIC

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### Brief characterizations of AIC and BIC: how helpful are they?

I have found the following one-sentence characterizations of AIC and BIC in a lecture note: AIC estimates the degree to which the predictive accuracy of the model will generalize to new data. BIC ...
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### Residual Plots for Model Comparison

Other than using AIC and BIC, I'd like to compare two different models via graphical interpretation, therefore my question is, is it possible to compare two regression models with each one having the ...
211 views

### Match model selection strategies with modelling objectives

I am confused trying to match different model selection strategies with different modelling objectives. (Unfortunately, my confusion is reflected in the length of the post. Please be patient.) Model ...
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### Derivation of the BIC

i am trying to self-study / understand the derivation of the BIC. I have studied that: however - it is not quite clear to me how this leads to the formula below. I don't fully understand where the ...
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### A simulation study of linear mixed model

I am reading this paper, a note on BIC in mixed effects models, and I was trying to repeat their simulation study. And I will paste part of the experiment settings here to clarify my question. Now, I ...
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### AIC/BIC for quantile regression

I am working on Quantile Regression (QR) and want to assess models using goodness of fit (GOF) measures. I have come across the post here, here that says, AIC/BIC can be calculated for QR model ...
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### AIC or BIC for robust regression?

I want to fit a robust regression method to my data because there are some outliers that might influence the estimates too much. Now my question: Are criterions like AIC or BIC still useful for robust ...
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1 vote
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### Correct calculation of BIC (Bayesian Information Criterion) to determine K for K-Means

I am trying to calculate BIC in python. In python, there is no inbuilt library for computing BIC. I referenced the following link to compute variance and BIC further:- Using BIC to estimate the number ...
1 vote
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### Bayesian Information Criteria variable penalisation for increasing N

I am trying to understand the Bayesian Information Criteria for model performance, given by the formula below: BIC=−2ln(L)+kln(n) I understand the aim is to minimize this function. I can see that ...
1 vote
87 views

### Interpretation of plots for outlier detection in healthcare

Christy et al. propose cluster-based approach to outlier detection as part of the preprocessing step. However, I don't think the plots are very interpretable. The authors use the R mclustbic function ...
1 vote