Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Erika Rasure is globally-recognized as a leading consumer economics ...

The oldest mathematics journal in the Western Hemisphere in continuous publication, the American Journal of Mathematics ranks as one of the most respected and celebrated journals in its field.

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

Abstract: In this paper, a method of generating true random numbers obeying multiple distribution characteristics is proposed. First, two resistance-capacitance (RC) self-excited oscillation circuits ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...

Constrained negative binomial, Neyman type A, Polya-Aeppli, and Poisson-with-zeroes distributions are shown to satisfy Perry and Taylor's requirements regarding Taylor's power law when fitted with n + ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...

You all successfully handed in your first assignment in R Markdown. Now it's time to learn a bit more about it.