bSorbonne Université, Faculté De Santé, UFR Médecine, F75013, Paris, France cSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, F75013, Paris, France dDepartment ...

ABSTRACT: The high penetration of distributed energy resources (DERs) exacerbates net load fluctuations in distribution networks. Existing dynamic pricing research often ignores complex physical ...

Abstract: A marginal problem asks whether a given family of marginal distributions for some set of random variables arises from some joint distribution of these variables. Here, we point out that the ...

In both research and clinical settings involving animals, traditional methods for assessing the glucose-insulin relationship rely on the collection of blood samples. However, these conventional ...

aaBiostatistics and Bioinformatics Shared Resource, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA ...

Abstract: Mutual information is a popular metric in machine learning. In case of a discrete target variable and a continuous feature variable the mutual information can be calculated as a sum-integral ...

In this article we provide a short survey on continuous-time portfolio selection. We explain the pioneering contribution of Merton and the use of dynamic programming. Then, we discuss Bismut's ...

Objective To validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory rate (RR) and temperature in a postsurgical patient population at high risk of ...

Inverse probability-weighted marginal structural models with binary exposures are common in epidemiology. Constructing inverse probability weights for a continuous exposure can be complicated by the ...