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A key component of our algorithm is the model selection method that selects the appropriate number of clusters by adjusting the model complexity 'control knob' α b.
We would want to have a model selection method that enables to select the adjacency matrix that best predicts the true topology.
The degrees of the polynomials were selected using a popular model selection method, the Akaike Information Criterion AICC) [ 7].
We applied the second step of our model selection method to these profiles to select models common to all five time-of-day profiles, using as a subset of parameters the ones in the model determined for our irrigated field data instead of the hdi pre-selection.
This was mainly owing to the cdf model selection method used in FINAL, which accurately selected the optimal cdf model for each input vector index.
However, for the task at hand, the limited observability of protein concentrations and the noise in the measurements pose serious challenges to this default model selection method [ 16, 20], and the selected model often overfits the observed data.
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In this manner, the clinical variables were fixed component of the model and the probes associated with the survival variables were selected using a combination of forward and stepwise model selection methods.
After the assumptions were investigated, several IRT models were applied to the three tests and the model selection methods explained in Section Model selection methods were used to select the model with the best fit.
Also, Tsay [19], Hurvich and Tsai [20] and Pötscher [21] have studied model selection methods in time series models.
We suggest employing two commonly used model selection methods, namely MDL and CV, for making such choices.
Thus, we recommend using the KS-tests together with other model selection methods for more reliable conclusions.
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model stepwise method
model averaging method
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model building method
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