Authors: Jürgen Lerner, Alessandro Lomi
arXiv
Polyadic, or "multicast" social interaction networks arise when one sender addresses multiple receivers simultaneously. Currently available relational event models (REM) are not well suited to the ana...
Authors: Fabio Centofanti, Bianca Maria Colosimo, Marco Luigi Grasso, Alessandra Menafoglio, Biagio Palumbo, Simone Vantini
arXiv
The development of data acquisition systems is facilitating the collection of data that are apt to be modelled as functional data. In some applications, the interest lies in the identification of sign...
Authors: Ali Nejat, Laura Solitare, Edward Pettitt, Hamed Mohsenian-Rad
arXiv
Community resilience in the face of natural hazards relies on a community's potential to bounce back. A failure to integrate equity into resilience considerations results in unequal recovery and dispr...
Authors: Hyun-Suk Lee
arXiv
Dynamic scheduling is an important problem in applications from queuing to wireless networks. It addresses how to choose an item among multiple scheduling items in each timestep to achieve a long-term...
Authors: Krzysztof Rusek, Mathias Drton
arXiv
ICT systems provide detailed information on computer network traffic. However, due to storage limitations, some of the information on past traffic is often only retained in an aggregated form. In this...
Authors: Christine Hedde-von Westernhagen, Javier Garcia-Bernardo, Ayoub Bagheri
arXiv
Understanding the spread of SARS-CoV-2 has been one of the most pressing problems of the recent past. Network models present a potent approach to studying such spreading phenomena because of their abi...
Authors: Joshua Chan
arXiv
Bayesian vector autoregressions (BVARs) are the workhorse in macroeconomic forecasting. Research in the last decade has established the importance of allowing time-varying volatility to capture both s...
Authors: Fangyuan Lin
arXiv
A stochastic process that arises by composing a function with a Markov process is called an aggregated Markov process (AMP). The purpose of composing a Markov process with a function can be a reductio...
Authors: Jacob M. Maronge, Jared D. Huling, Guanhua Chen
arXiv
Individualized treatment rules (ITRs) for treatment recommendation is an important topic for precision medicine as not all beneficial treatments work well for all individuals. Interpretability is a de...
Authors: Bethany Little, Carly Flowers, Andrew Blamire, Peter Thelwall, John-Paul Taylor, Peter Gallagher, David Andrew Cousins, Yujiang Wang
arXiv
Background: People with bipolar disorder (BD) tend to show widespread cognitive impairment compared to healthy controls. Impairments in processing speed (PS), attention, and executive function (EF) ma...
Authors: Peng Wang, Yanting Li, Fugee Tsung
arXiv
Wind turbines often work under complex conditions which result in performance degradation. Accurate performance degradation monitoring is essential to ensure the reliable operation of wind turbines an...
Authors: Aidan J. Hughes, Jack Poole, Nikolaos Dervilis, Paul Gardner, Keith Worden
arXiv
Population-based structural health monitoring (PBSHM), seeks to address some of the limitations associated with data scarcity that arise in traditional SHM. A tenet of the population-based approach to...
Authors: Zhiqing Yang, Youngjun Choe, Matthew Martell
arXiv
To battle with economic challenges during the COVID-19 pandemic, the US government implemented various measures to mitigate economic loss. From issuance of stimulus checks to reopening businesses, con...
Authors: Jongbin Jung, Sam Corbett-Davies, Johann D. Gaebler, Ravi Shroff, Sharad Goel
arXiv
Managers, employers, policymakers, and others often seek to understand whether decisions are biased against certain groups. One popular analytic strategy is to estimate disparities after adjusting for...
Authors: Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C. -W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando Ombao
arXiv
Brain functional connectivity (FC) reveals biomarkers for identification of various neuropsychiatric disorders. Recent application of deep neural networks (DNNs) to connectome-based classification mos...