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Hence, we treat w 0,…,w J−1 as design parameters that should be selected to maximize the performance; for example, by maximizing the limiting value of the SINRs, as was done in Theorem 3 for RZF precoding.
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In three example models, we demonstrate that by maximizing the number of independent EMU basis vectors the observability of a system is improved.
The model was fitted by maximizing the log-likelihood.
However, in the general case, the maximum likelihood estimates are easiest found by maximizing Eq. 2 numerically, for example using Newton's method.
Finally, adjustment for proxies for unmeasured factors by maximizing available information in large databases using appropriate methods (for example, high dimensional propensity score methods) can potentially achieve better control for bias in some settings.
Parameters are estimated by maximizing the likelihood of the model.
A third example is the work of [ 46], aiming to measure the importance of genes by maximizing a likelihood function and identifying those genes that are the most highly connected.
And with good reason: Private investors recoup their money by maximizing revenue — either making the infrastructure better to allow for more cars, for example, or by raising tolls.
Selection operates by maximizing fitness.
where, and then find by maximizing.
Next, we prove this theorem by maximizing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com