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Moreover, the major recent developments in statistical approaches in these fields are, as yet, poorly-represented in the marine ecological literature.
The main difference between traditional statistical classification techniques and fuzzy clustering techniques is that in the fuzzy approaches an input vector belongs simultaneously to more than one cluster while in statistical approaches it belongs exclusively to only one cluster.
The most common method in statistical approaches is the moving window technique.
Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice.
In statistical approaches, we take a probabilistic viewpoint of language modeling and estimate the probability P W) for a given word sequence W = w1w2,..., w n.
On one hand, there is a cultural obstacle: practitioners of TDA often have backgrounds in pure topology and are not well-versed in statistical approaches to data analysis [54].
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The DAG approach can be used to help choose which covariates should be included in traditional statistical approaches in order to minimize the magnitude of the bias in the estimate produced.
An additional analysis was performed to minimize threshold choice effects in different statistical approaches in microarray data analysis [ 31].
This theme takes center stage in the statistical approaches to simplicity discussed in Section 5. Less work has been done on describing episodes in science where elegance as opposed to parsimony has been (or may have been) the crucial factor.
This may, in part, be attributable to limitations in the statistical approaches that have previously been used to address this issue [ 15].
Like-for-like comparisons between Empirical and Fully Bayesian estimates should be made with caution, however, as important differences exist in their statistical approaches.
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CEO of Professional Science Editing for Scientists @ prosciediting.com