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A distinct advantage of this class is that model order selection can be performed automatically, and a variable model order can be chosen per segment.
For M2a, a variable model, these two classes are used with an additional class (K = 3) where ω is freely estimated to allow for deviations from neutrality.
Adding diagnosis history as a variable (model 2) improved predictive power from 3.7%too 12.6% at individual level, and from 34.4% to 60.8% at practice level.
We carried out a multiple regression analyses to determine the contribution of age, gender, background/pre-entrance selection, both with age as a variable (model 1) and with maturity instead as a variable (model 2) in Tables 5 and 6.>> This showed that the Model 1, containing only Age, explained 3.9% of the variance in the SMMS scores.
Rather than estimating ω for each dataset using a variable model along pre-defined blocks of adjacent codons, we assumed an independent model for each site with an improper inverse distribution of rates.
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A genre is not a formula but a paradigm, an endlessly variable model that can be adapted to different temperaments and circumstances.
When eGDR is included in the model as a continuous variable (model 3), a similar pattern of association of eGDR with complications is observed.
When individual analyses are not consistent, a latent variable model provides an easily interpretable synthesis.
The aspect model is a latent variable model for co-occurrence data that associates an unobserved class variable to each observation (i.e., words and documents).
Equations (1) and (64) define now a state variable model, similar to Kalman filtering setup.
Table 5 Models with GDP per capita as a control variable Model 7 Model 7a Model 7b Model 8 Model 8a Model 8b Coeff.
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