Sentence examples for model preference and from inspiring English sources

Regarding the PS group, the analysis of model preference and performance produced results similar to those of the low-density regions, with lower AIC values for the 2TCM.

The differences in model preference and performance seen between the simulated and the animal datasets can be explained by the noiseless character of the generated TACs.

Key questions related to model preference and additional training needed.

Model preference between 1TCM and 2TCM was assessed for each region based on the Akaike information criterion (AIC) [29].

Due to the similarity in model preference between PS group and low-density regions of the TD group, it was hypothesized that model preference is affected by the levels of specific binding present in a particular region.

Inclusion of 4 4.5 h data did not change the overall model preference (Additional File 2), and 2T4k+VB fits derived were equivalent to 2T4k+VB derived from 2.5 h data, with similar VT values (R 2 = 0.96).

The report outlines the theoretical requirements for designs that identify choice-model preference parameters and summarizes and compares a number of available approaches for constructing experimental designs.

Effect of noise on the model preference can be observed in Figs. 2 and 3.

A figure on model preference for simulated TACs of increasing specific binding and noise levels.

Fig. 4 Model preference (based on AIC) of simulated TACs.

For background on quantitative models of preference and decision, see Doyle & Thomason 1999.