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1 vote
2 answers
81 views

What AIC is necessary to select this model?

I have read this page but am a little confused and I think a real example might help solidify the idea in my mind regarding how to use the AIC in model selection. Equivalence of AIC and p-values in ...
LucaS's user avatar
  • 771
0 votes
0 answers
31 views

Interprete AIC as significance test and determine significance level for nested models

Let's say we have two nested models. The smaller one (corresponds to $H_0$) has $p_0$ parameters, so its AIC is given by $$AIC_0=-2\log L_0+2p_0$$ The larger model has $p_1:=p_0+d$ parameters of which ...
user826130's user avatar
1 vote
1 answer
264 views

How can we select the best GARCH model by carrying out likelihood ratio test?

I have carried out the likelihood ratios of different GARCH models. GARCH(1,1) and GARCH(1,0)- Rejected null hypothesis so I chose GARCH(1,1) to do more sophistication. GARCH(3,1) and GARCH(1,1)- ...
Saad Ullah Khan's user avatar
1 vote
2 answers
221 views

the meaning of likelihood ratio test

I just learned the likelihood ratio test (LRT) method for model selection and worked out some examples. However, I am still a bit confused with the meaning of it. Basically, for a family of model ...
chichi's user avatar
  • 167
1 vote
1 answer
75 views

ANOVA selects a model with autocorrelated residuals

I want to know which temperature dataset (Aa1, Bb, Cc, Dd) is/are the best predictor for laying date (medini). First, I used simple linear regression: median...
MSS's user avatar
  • 287
3 votes
2 answers
1k views

Calculating the relative likelihood with AIC values

I'm using AIC for model selection, and would like to use a relative likelihood measure to quantify how many times a model with minimum AIC (AICmin) fits better than the alternative (with AICi). For ...
elcortegano's user avatar
6 votes
4 answers
1k views

Joint probability of multivariate normal distributions with missing dimensions

Suppose I conduct two experiments, each measuring a subset of possible parameters. From experiment #1 I measure two parameters and estimate the multivariate normal distribution $$ \mathbf{X}_1=\left [...
zamazalotta's user avatar
2 votes
1 answer
12k views

Model selection by LR test: How to interpret the results?

I'm using lrtest to compare two models in Stata. When I get a p-value is 0.7673 that is greater than 0.05, does it mean model3 is better than the other model1? I wanted to learn how to interpret which ...
Karin's user avatar
  • 21
3 votes
0 answers
67 views

Bayesian Decision Making (for particular problem)

I've read several papers why p-values should be replaced by Bayes factors and trying to use them. What I have: say, I have matrix of 2000 rows and 1000 columns. In each column I need to make a ...
German Demidov's user avatar
2 votes
1 answer
896 views

Am I conducting this likelihood ratio test (selecting between GARCH and TGARCH) correctly?

I calculated log likelihoods for two times series models, a GARCH and a TGARCH. The GARCH model is nested within the TGARCH, and their respective log-likelihoods are: \begin{aligned} \text{LL_GARCH} ...
David's user avatar
  • 31
1 vote
1 answer
3k views

How to select GARCH lag for forecasting purpose (AIC+likelihood ratio)?

I modified this question to be more specific. I'm fitting a ARIMA-GARCH model to my hedge fund index daily log return series. I used ACF, PACF, Ljung-Box test and Archtest to check for ...
nahsel's user avatar
  • 23
6 votes
1 answer
2k views

AIC and BIC criterion for Model selection, how is it used in this paper?

I'm reading Model selection and inference: Facts and fiction by Leeb & Pötscher (2005) (link), in this paper they look at an example in linear regression: Let $$Y_i = \alpha x_{i1}+\beta x_{i2}+\...
dietervdf's user avatar
  • 1,212
1 vote
1 answer
771 views

AICC vs Log Likelihood in Arima

Which is best and why between 2 models A and B where : Log likelihood of A < Log likelihood of B AICC of A > AICC of B Thanks for your replies
user2018454's user avatar
3 votes
1 answer
843 views

How to combine the interpretation of LR test and AIC in backward model selection?

I am doing a model selection starting from the follwing full model (cma): ...
Gabriele Midolo's user avatar
4 votes
1 answer
17k views

Model selection with LR test: how to interpret the result?

I'm using lrtest to compare two models in Stata. When I get a $p$-value of less than 0.05, does it mean one model is better than the other one? But which one is ...
lsadelaide's user avatar

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