This paper reviews the range of graphical methods available for use with nonparametric procedures, and provides examples of the use of many of the methods under the broad groupings: two-sample ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Terms apply to American Express benefits and offers. Visit americanexpress.com to learn more. Any time you tap, swipe or dip a credit or debit card at checkout or enter your card number online, you ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Vikki Velasquez is a researcher and writer who has managed, coordinated, ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Abstract: In recent years, deep learning-based methods have attracted considerable attention in hyperspectral image (HSI) hyperspectral unmixing (HU) tasks due to their robust feature extraction and ...

Abstract: Microscopic identification is one of the most commonly used methods for preliminary screening of traditional Chinese medicine (TCM). However, TCM microscopic images often contain irregular ...

We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...