In this valuable contribution, the authors present a novel and versatile probabilistic tool for classifying tracking behaviors and understanding parameters for different types of single-particle ...

Robert Stammer, CFA, is the former director of investor engagement at CFA Institute and writes on thought leadership in the investment management industry. Charlene Rhinehart is a CPA , CFE, chair of ...

Subscribe Login Register Log out My Profile Subscriber Services Search PGe NEWSLETTERS PG STORE ARCHIVES PUBLIC NOTICES OBITUARIES JOBS CLASSIFIEDS EVENTS PETS CONTACT US ADVERTISING CULTURE & CAREERS ...

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 ...

The Python Toolkit for Uncertainty Quantification (PyTUQ) is a Python-only collection of libraries and tools designed for quantifying uncertainty in computational models. PyTUQ offers a range of UQ ...

Vocabulary acquisition is crucial in second language (L2) learning and can be affected by multi-variables. The fact that all these variables have typically been investigated separately (or, at best, ...

Our modified synthetic data generation and analytic techniques have sequential components and many related analyses. Therefore, clear definitions, preliminaries, and a brief outline are given before ...

Abstract: Polynomial chaos (PC) has been proven to be an efficient method for uncertainty quantification, but its applicability is limited by two strong assumptions: the mutual independence of random ...

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...

Many environmental sampling is often observed multiple spatially correlated variables at a given geographical location. For instance, multiple topsoil heavy metal concentrations, such as cadmium, zinc ...