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The underlying assumption for the above model is normal distribution of the score data.
The authors should prove that LFA-1 activation in their model is normal.
2) The authors should prove that LFA-1 activation in their model is normal.
Energy failure has been proven in G1D astrocytes, while tricarboxilyc acid abundance in the brain of G1D mouse model is normal.
In general, the accuracy and PEV results from BSt and BN models suggest that heavy-tailed fitted models can improve accuracy and PEV when the true model is heavy-tailed, but a robust Bayesian analysis using heavy-tailed models does not deteriorate accuracy and PEV if the true model is normal.
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Initial states of all attributes in our model are normal.
There was no disadvantage of fitting a heavy-tailed model when the true model was normal.
Further, there was no difference in PLL between BS t and BN-∞ models and there were no disadvantages of fitting a BS t model when the true model was normal.
The models are normal-looking women, and often are in fact Lucky magazine staff members.
A better model is a normal distribution 𝒩 where the mean μ= Np and variance σ≠ Npq are fitted to the empirical distribution across the database.
The analysis model is a normal errors linear regression, y i ∼ N (β 0 + β 1 x i + β x i 2, σ 2 ).
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