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Using constant ("wrong") correlation may result some 'correlation risk'.
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It's a fitting start to a tale of constant wrongness — of taking wrong turns, making wrong assumptions, and inflicting wrongs terrible and small.
I tried to keep up with my fellow yogis and not look out of place, but [the] constant stumbling, wrong movements, bad timing, and massive pool of sweat surrounding me were clear signs of a man out of his element.
It's a fitting start to a tale of constant wrongness of taking wrong turns, making wrong assumptions, and inflicting wrongs terrible and small.
Q: So press reports of constant disagreement are wrong?
The numerical results showed that the correlation risk caused by using a wrong (constant) correlation model cannot be neglected.
However, the a priori bound E cannot be known exactly in practice, and using a wrong constant E may lead to a badly regularized solution.
However, the a priori bound E cannot be known exactly in practice, and working with a wrong constant E may lead to a badly regularized solution.
In fact, the a priori bound M cannot be known exactly in practice, and working with a wrong constant M may lead to a poor regularization solution.
But the a priori bound E cannot be known exactly in practice, and working with a wrong constant E may lead to the bad regularization solution.
However, in general, the a priori bound M cannot be known exactly in practice, and working with a wrong constant M may lead to the bad regularized solution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com