Authors: Román Salmerón
arXiv
The objective of this work is to analyze the usefulness to transform the information to measure sports performance. This analysis is carried out within the field of basketball due to the existing trad...
Authors: Guanbo Wang, Ting-Wei Ernie Liao, David Furfaro, Leo Anthony Celi, Kevin Sheng-Kai Ma
arXiv
Objective: Randomized controlled trial (RCT) results often inform clinical decision-making, but the highly curated populations of trials and the care provided during the trial are often not reflective...
Authors: Javier Álvarez-Liébana, M. Dolores Ruiz-Medina
arXiv
This work adopts a Banach-valued time series framework for component-wise estimation and prediction, from temporal correlated functional data, in presence of exogenous variables. The strong-consistenc...
Authors: Lauren Miako Beede, Giuseppe Vinci
arXiv
Researchers continue exploring neurons' intricate patterns of activity in the cerebral visual cortex in response to visual stimuli. The way neurons communicate and optimize their interactions with eac...
Authors: Thiyanga S. Talagala
arXiv
Forecasting competitions are of increasing importance as a means to learn best practices and gain knowledge. Data leakage is one of the most common issues that can often be found in competitions. Data...
Authors: Hans-Erik Andersen, Göran Ståhl, Bruce D. Cook, Douglas C. Morton, Andrew O. Finley
arXiv
Model-assisted, two-stage forest survey sampling designs provide a means to combine airborne remote sensing data, collected in a sampling mode, with field plot data to increase the precision of nation...
Authors: Marco Helbich, Matthew Danish, SM Labib, Britta Ricker
arXiv
Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in...
Authors: Xiaohui Zhang, Wenjie Fu, Mangui Liang
arXiv
Alzheimer's disease is a common cognitive disorder in the elderly. Early and accurate diagnosis of Alzheimer's disease (AD) has a major impact on the progress of research on dementia. At present, rese...
Authors: Catalina Mourgues-Codern, David Benrimoh, Jay Gandhi, Emily A. Farina, Raina Vin, Tihare Zamorano, Deven Parekh, Ashok Malla, Ridha Joober, Martin Lepage, Srividya N. Iyer, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara Cornblatt, Matcheri Keshavan, William S. Stone, Daniel H. Mathalon, Diana O. Perkins, Elaine F. Walker, Tyrone D. Cannon, Scott W. Woods, Jai L. Shah, Albert R. Powers
arXiv
Hallucinations and delusions are often grouped together within the positive symptoms of psychosis. However, recent evidence suggests they may be driven by distinct computational and neural mechanisms....
Authors: Ivan Medovikov, Valentyn Panchenko, Artem Prokhorov
arXiv
We consider a general multivariate model where univariate marginal distributions are known up to a parameter vector and we are interested in estimating that parameter vector without specifying the joi...
Authors: Lu Deng, JingJing Zhang, Yong Wang, Chuan Chen
arXiv
Estimating the average treatment effect in social networks is challenging due to individuals influencing each other. One approach to address interference is ego cluster experiments, where each cluster...
Authors: Taylor Reynolds, Sarah Scheffler, Daniel J. Weitzner, Angelina Wu
arXiv
There are two strategic and longstanding questions about cyber risk that organizations largely have been unable to answer: What is an organization's estimated risk exposure and how does its security c...
Authors: Yuandong Liu, Majbah Uddin
arXiv
Understanding the travel challenges faced by low-income residents has always been and continues to be one of the most important transportation equity topics. This study aims to explore the mobility ga...
Authors: Mathis Chagneux, Pierre Gloaguen, Sylvain Le Corff, Jimmy Olsson
arXiv
This article addresses online variational estimation in state-space models. We focus on learning the smoothing distribution, i.e. the joint distribution of the latent states given the observations, us...
Authors: Pierre Bourdillon, Linnea Evanson
arXiv
Recent advances in material technology and in micro- and nano-electronics have profoundly changed the design of intracranial electrophysiology electrodes. It is now possible to manufacture electrodes...