Sentence examples for model selection between from inspiring English sources
Model selection between GEE or the mixed model is a matter of debate.
Model selection between non-nested models was performed by Bayesian information criterion (BIC), which was calculated by equation (1).
This can be seen as a model selection between a model without genetic effects and an animal model.
Thus, comparing marginal likelihoods for model selection between the singlet and triplet models may not provide the whole picture.
Likelihood ratio test was used for model selection between Markov k-state one-parameter (Mk1) and two-parameter (Mk2) models [ 46].
Model selection between competing nested models was performed by the likelihood ratio test as well as graphical goodness-of-fit diagnostics using R (version 2.9.0, Vienna, Austria).
After inferring the most likely network architecture underlying a specific neural process, one can compare the parameter estimates obtained from Bayesian model selection for between-group inferences.
For plots produced by the plot.gam function of the mgcv package, Bayesian confidence intervals are used for plotting of the smooth terms, which can be obtained by simulating from the posterior distribution of the functional coefficients (or varying coefficients) [ 39] For model selection, esting between nested models was performed using anova(model 1,model 2, test="Chisq") [ 39].
Such an estimation is involved in solving the task, but ultimately the task effectively asks subjects to make a probabilistic model selection [20], [21] between three models.
We use this paradigm to demonstrate that our meta-Bayesian framework allows for (i) probabilistic inference on the dynamics of the subject's representation of environmental states, and for (ii) model selection to disambiguate between alternative preferences (loss functions) human subjects could employ when dealing with trade-offs, such as between speed and accuracy.
The results were further used for the "segselect" function, which uses an adaptive model selection [ 71] between outcomes with different numbers of breakpoints K.
