Authors: Daniel J. McDonald, Cosma Rohilla Shalizi
arXiv
Dynamic stochastic general equilibrium (DSGE) models have been an ubiquitous, and controversial, part of macroeconomics for decades. In this paper, we approach DSGEs purely as statstical models. We do...
Authors: Christian Morgenstern, Daniel J. Laydon, Charles Whittaker, Swapnil Mishra, David Haw, Samir Bhatt, Neil M. Ferguson
arXiv
The COVID-19 pandemic has caused over 6.4 million registered deaths to date and has had a profound impact on economic activity. Here, we study the interaction of transmission, mortality, and the econo...
Authors: Massimo Ventrucci, Alessandro Vagheggini
arXiv
Phase II basket trials are popular tools to evaluate efficacy of a new treatment targeting genetic alteration common to a set of different cancer histologies. Efficient designs are obtained by pooling...
Authors: Ian Vernon, Jonathan Owen, Jonathan Carter
arXiv
Computer models are widely used across a range of scientific disciplines to describe various complex physical systems, however to perform full uncertainty quantification we often need to employ emulat...
Authors: Michael Bertolacci, Andrew Zammit-Mangion, Andrew Schuh, Beata Bukosa, Jenny Fisher, Yi Cao, Aleya Kaushik, Noel Cressie
arXiv
The natural cycles of the surface-to-atmosphere fluxes of carbon dioxide (CO$_2$) and other important greenhouse gases are changing in response to human influences. These changes need to be quantified...
Authors: Thomas F Burns, Irwansyah
arXiv
Artificial and biological neural networks (ANNs and BNNs) can encode inputs in the form of combinations of individual neurons' activities. These combinatorial neural codes present a computational chal...
Authors: Margherita Ronchini, Yasser Rezaeiyan, Milad Zamani, Gabriella Panuccio, Farshad Moradi
arXiv
Therapeutic intervention in neurological disorders still relies heavily on pharmacological solutions, while the treatment of patients with drug resistance remains an open challenge. This is particular...
Authors: Barbara Carretti, David Giofre, Enrico Toffalini, Cesare Cornoldi, Massimiliano Pastore, Silvia Lanfranchi
arXiv
Several models of working memory (WM) have been proposed in the literature. Most of the research on the architecture of WM is based on adults or older children, but less is known about younger childre...
Authors: Jason Toy
arXiv
Since their Nobel Prize winning discovery in 2005, grid cells have been studied extensively by neuroscientists. Their multi-scale periodic firing rates tiling the environment as the animal moves aroun...
Authors: Pablo Dorta-González
arXiv
Purpose: This paper explores some influencing factors of Twitter mentions of scientific research. The results can help to understand the relationships between various altmetrics. Design/methodology/ap...
Authors: Rahul Goswami, Arabin Kumar Dey
arXiv
Recently Goswami et al. \cite{goswami2022concordance} introduced two novel implementations of combined regression strategy to find the conditional survival function. The paper uses regression-based we...
Authors: Yanran Li, Brent A. Coull, Nancy Krieger, Emily Peterson, Lance A. Waller, Jarvis T. Chen, Rachel C. Nethery
arXiv
The US Census Bureau will implement a new privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on the public-release 2020 census data. There are co...
Authors: Eli Ben-Michael, Avi Feller, Rachel Kelz, Luke Keele
arXiv
Research documents that Black patients experience worse general surgery outcomes than white patients in the United States. In this paper, we focus on an important but less-examined category: the surgi...
Authors: Camille Noufi, Adam C. Lammert, Daryush D. Mehta, James R. Williamson, Gregory Ciccarelli, Douglas Sturim, Jordan R. Green, Thomas F. Quatieri, Thomas F. Campbell
arXiv
Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in recovery and treatm...
Authors: Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova
arXiv
In brain-computer interfaces (BCI) research, recording data is time-consuming and expensive, which limits access to big datasets. This may influence the BCI system performance as machine learning meth...