![SOLVED: The definitions for AIC and BIC (or SBC) are: AIC = -2ln(L) + 2p BIC = -2ln(L) + ln(n)p where L is the log-likelihood, p is the number of parameters, n SOLVED: The definitions for AIC and BIC (or SBC) are: AIC = -2ln(L) + 2p BIC = -2ln(L) + ln(n)p where L is the log-likelihood, p is the number of parameters, n](https://cdn.numerade.com/ask_previews/04d083b5-9051-4319-9b22-8a97dd64f893_large.jpg)
SOLVED: The definitions for AIC and BIC (or SBC) are: AIC = -2ln(L) + 2p BIC = -2ln(L) + ln(n)p where L is the log-likelihood, p is the number of parameters, n
Scree plot of AIC, BIC and ssaBIC versus number of latent class. AIC:... | Download Scientific Diagram
![python - Why AIC/BIC criteria estimations give very poor Gaussian mixture density fit to my data? - Stack Overflow python - Why AIC/BIC criteria estimations give very poor Gaussian mixture density fit to my data? - Stack Overflow](https://i.stack.imgur.com/uaErg.png)