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 ...

In the production of clean steels, the occurrence of imperfections—so-called "Inclusions" — is unavoidable. The strength of a clean steel block is largely dependent on the size of the largest ...