Authors: Ayesha Ekanayaka, Emily Kang, Peter Kalmus, Amy Braverman
arXiv
We describe an improved statistical downscaling method for Earth science applications using multivariate Basis Graphical Lasso (BGL). We demonstrate our method using a case study of sea surface temper...
Authors: Bahman Moghimi, Camille Kamga, Abolfazl Safikhani, Sandeep Mudigonda, Patricio Vicuna
arXiv
The COVID-19 pandemic in 2020 has caused sudden shocks in transportation systems, specifically the subway ridership patterns in New York City. Understanding the temporal pattern of subway ridership th...
Authors: Ting Ye, Jun Shao, Yanyao Yi
arXiv
Nonparametric covariate adjustment is considered for log-rank type tests of treatment effect with right-censored time-to-event data from clinical trials applying covariate-adaptive randomization. Our...
Authors: K. N. Khikmah, A. Sofro
arXiv
Autoregressive moving average and generalized autoregressive moving average are often used in statistical modeling. This study uses this method because the method uses data from the previous period to...
Authors: Tianjiao He
arXiv
The rapid increase of smoking-related diseases and deaths globally is driving us to find an effective approach to reduce the smoking rate. This study aims to determine whether indoor smoking bans at w...
Authors: Denise Rava, Ronghui Xu
arXiv
We consider the conditional treatment effect for competing risks data in observational studies. While it is described as a constant difference between the hazard functions given the covariates, we do...
Authors: Dante R. Chialvo, Ignacio Cifre, Jeremi K. Ochab
arXiv
Already two decades passed since the first applications of graph theory to brain neuroimaging. Since that early description, the characterization of the brain as a very large interacting complex netwo...
Authors: Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody, David W. Tank, William Bialek
arXiv
Biological networks exhibit complex, coordinated patterns of activity. Can these patterns be captured precisely in simple models? Here we use measurements of simultaneous activity in 1000+ neurons in...
Authors: Austin Stephen, Matthew Yep, Grace Fain
arXiv
The prevailing belief propagated by NBA league observers is that the workload of the NBA season dramatically influences a player's performance$^{1,2,3,4,5}$. We offer an analysis of cross game player...
Authors: Chris Fields, Karl Friston, James F. Glazebrook, Michael Levin
arXiv
The Free Energy Principle (FEP) states that under suitable conditions of weak coupling, random dynamical systems with sufficient degrees of freedom will behave so as to minimize an upper bound, formal...
Authors: Rob Shooter, Emma Ross, Agustinus Ribal, Ian R. Young, Philip Jonathan
arXiv
The joint extremal spatial dependence of wind speed and significant wave height in the North East Atlantic is quantified using Metop satellite scatterometer and hindcast observations for the period 20...
Authors: Cornelius Fritz, Giacomo De Nicola, Sevag Kevork, Dietmar Harhoff, Göran Kauermann
arXiv
We analyse the bipartite dynamic network of inventors and patents registered within the main area of electrical engineering in Germany to explore the driving forces behind innovation. The data at hand...
Authors: Yueyao Wang, Li Xu, Yili Hong, Rong Pan, Tyler Chang, Thomas Lux, Jon Bernard, Layne Watson, Kirk Cameron
arXiv
Performance variability management is an active research area in high-performance computing (HPC). We focus on input/output (I/O) variability. To study the performance variability, computer scientists...
Authors: A. Llera, M. Brammer, B. Oakley, J. Tillmann, M. Zabihi, T. Mei, T. Charman, C. Ecker, F. Dell Acqua, T. Banaschewski, C. Moessnang, S. Baron-Cohen, R. Holt, S. Durston, D. Murphy, E. Loth, J. K. Buitelaar, D. L. Floris, C. F. Beckmann
arXiv
An increasing number of large-scale multi-modal research initiatives has been conducted in the typically developing population, as well as in psychiatric cohorts. Missing data is a common problem in s...
Authors: Sándor Baran, Mária Lakatos
arXiv
To be able to produce accurate and reliable predictions of visibility has crucial importance in aviation meteorology, as well as in water- and road transportation. Nowadays, several meteorological ser...