Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...
Estimating non-linear functions of multinomial probabilities is a common problem in epidemiology. Maximum likelihood estimates of non-linear functions are easily obtained. However, only asymptotic ...
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