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Social and information networks may become polarized, leading to echo chambers and political gridlock. Accurately measuring this phenomenon is a critical challenge. Existing measures often conflate genuine structural division with random…

Social and Information Networks · Computer Science 2025-12-04 Giulia Preti , Matteo Riondato , Aristides Gionis , Gianmarco De Francisci Morales

With the severity of the COVID-19 outbreak, we characterize the nature of the growth trajectories of counties in the United States using a novel combination of spectral clustering and the correlation matrix. As the U.S. and the rest of the…

Social and Information Networks · Computer Science 2021-01-07 Francesca Tang , Yang Feng , Hamza Chiheb , Jianqing Fan

Advances in large-scale neural recordings have expanded our ability to describe the activity of distributed brain circuits. However, understanding how neural population dynamics differ across regions and behavioral contexts remains…

Accounting for sex and gender is a challenge in social science research. While other methodology papers consider issues surrounding appropriate measurement, we consider the problem of adjustment for survey nonresponse and generalization…

Applications · Statistics 2022-03-25 Lauren Kennedy , Katharine Khanna , Daniel Simpson , Andrew Gelman , Yajun Jia , Julien Teitler

We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical…

Other Statistics · Statistics 2015-08-06 Johanna Hardin , Ghassan Sarkis , P. C. Urc

This special issue is a product of the First Interdisciplinary Symposium on Statistical Challenges and Opportunities in Electronic Commerce Research, which took place on May 22--23, 2005, at the Robert H. Smith School of Business,…

Statistics Theory · Mathematics 2007-06-13 Wolfgang Jank , Galit Shmueli

Geographic patterns in stroke mortality have been studied as far back as the 1960s, when a region of the southeastern United States became known as the "stroke belt" due to its unusually high rates of stroke mortality. While stroke…

Methodology · Statistics 2018-01-23 Harrison Quick , Lance A. Waller , Michele Casper

Martha Euphemia Lofton Haynes was the first African American woman to receive a PhD in mathematics. She grew up in Washington DC, earned a bachelors degree in mathematics from Smith College in 1914, a masters in education from University of…

History and Overview · Mathematics 2017-03-06 Susan Kelly , Carly Shinners , Katherine Zoroufy

The following conversation is based in part on a transcript of a 2009 interview funded by Pfizer Global Research-Connecticut, the American Statistical Association and the Department of Statistics at the University of Connecticut-Storrs as…

Other Statistics · Statistics 2013-10-10 Miron L. Straf , Judith M. Tanur

The Committee of Presidents of Statistical Societies (COPSS) will celebrate its 50th Anniversary in 2013. As part of its celebration, COPSS intends to publish a book with contributions from the past recipients of its four awards, namely the…

Statistics Theory · Mathematics 2013-03-26 Grace Wahba

Neurons can code for multiple variables simultaneously and neuroscientists are often interested in classifying neurons based on their receptive field properties. Statistical models provide powerful tools for determining the factors…

Neurons and Cognition · Quantitative Biology 2022-10-28 Mehrad Sarmashghi , Shantanu P. Jadhav , Uri T. Eden

In the Monte Carlo (MC) method statistical noise is usually present. Statistical noise may become dominant in the calculation of a distribution, usually by iteration, but is less Important in calculating integrals. The subject of the…

Computational Physics · Physics 2013-11-08 Mihály Makai , Zoltán Szatmáry

Mobile technologies offer opportunities for higher resolution monitoring of health conditions. This opportunity seems of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mood states.…

Machine Learning · Statistics 2019-05-03 Imanol Perez Arribas , Kate Saunders , Guy Goodwin , Terry Lyons

We introduce a general modeling framework to predict the outcomes, at the population level, of individual psychology and behavior. The framework prescribes that researchers build a cost function that embodies knowledge of what trait values…

Physics and Society · Physics 2007-05-23 Pierluigi Contucci , Stefano Ghirlanda

The composition of the scientific workforce shapes the direction of scientific research, directly through the selection of questions to investigate, and indirectly through its influence on the training of future scientists. In most fields,…

Digital Libraries · Computer Science 2019-03-19 Allison C. Morgan , Samuel F. Way , Aaron Clauset

The development of foundation models for functional magnetic resonance imaging (fMRI) time series holds significant promise for predicting phenotypes related to disease and cognition. Current models, however, are often trained using a…

Machine Learning · Computer Science 2026-03-03 Sam Gijsen , Marc-Andre Schulz , Kerstin Ritter

The macrocolumn is a key component of a neuromorphic computing system that interacts with an external environment under control of an agent. Environments are learned and stored in the macrocolumn as labeled directed graphs where edges…

Neural and Evolutionary Computing · Computer Science 2023-02-15 James E. Smith

There is a science of science and an informal economics of economics, but there is not a cohesive sociology of sociology. We turn the central findings and theoretical lenses of the sociological tradition and the sociological study of…

Physics and Society · Physics 2026-01-09 Gavin Cook

In 1987, J.W. Cohen analyzed the so-called Serve the Longest Queue (SLQ) queueing system, where a single server attends two non-symmetric $M/G/1$-type queues, exercising a non-preemptive priority switching policy. Cohen further analyzed in…

Probability · Mathematics 2022-04-19 Efrat Perel , Nir Perel , Uri Yechiali

The research on mortality is an active area of research for any country where the conclusions are driven from the provided data and conditions. The domain knowledge is an essential but not a mandatory skill (though some knowledge is still…

Machine Learning · Computer Science 2020-09-14 Yasir Nadeem , Awais Ahmed
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