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maximization algorithm » optimization algorithms (Expand Search), classification algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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maximization algorithm » optimization algorithms (Expand Search), classification algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
data size » dataset size (Expand Search)
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Computational methods to simultaneously compare the predictive values of two diagnostic tests with missing data: <i>EM</i>-<i>SEM</i> algorithms and multiple imputation
Published 2021“…The hypothesis tests were solved applying two computational methods: the expectation maximization and the supplemented expectation maximization algorithms, and multiple imputation. …”
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Adaptive Inference for Change Points in High-Dimensional Data
Published 2021“…On the estimation front, we obtain the convergence rate of the maximizer of our test statistic standardized by sample size when there is one change-point in mean and <i>q</i> = 2, and propose to combine our tests with a wild binary segmentation algorithm to estimate the change-point number and locations when there are multiple change-points. …”
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Seed mix selection model
Published 2022“…</p> <p> </p> <p>We applied the seed mix selection model using a binary genetic algorithm to select seed mixes (R package ‘GA’; Scrucca 2013; Scrucca 2017). …”