Authors: Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos, Gesine Reinert
arXiv
In economic and financial applications, there is often the need for analysing multivariate time series, comprising of time series for a range of quantities. In some applications such complex systems c...
Authors: Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson
arXiv
Recent advancements in the acquisition of various brain data sources have created new opportunities for integrating multimodal brain data to assist in early detection of complex brain disorders. Howev...
Authors: Peter J. Diggle, Claudio Fronterre, Katherine Gass, Lee Hundley, Reza Niles-Robin, Annastacia Sampson, Ana Morice, Ronaldo Carvalho Scholte
arXiv
Current WHO guidelines set prevalence thresholds below which a Neglected Tropical Disease can be considered to have been eliminated as a public health problem, and specify how surveys to assess whethe...
Authors: Min Jiang, Andi Wang, Ziyue Li, Fugee Tsung
arXiv
This paper proposes the Spatio-Temporal Crowdedness Inference Model (STCIM), a framework to infer the passenger distribution inside the whole urban rail transit (URT) system in real-time. Our model is...
Authors: Suhan Shetty, João Silvério, Sylvain Calinon
arXiv
In robotics, ergodic control extends the tracking principle by specifying a probability distribution over an area to cover instead of a trajectory to track. The original problem is formulated as a spe...
Authors: Michelle F. Miranda, Jeffrey S. Morris
arXiv
In this paper, we introduce a new Bayesian approach for analyzing task fMRI data that simultaneously detects activation signatures and background connectivity. Our modeling involves a new hybrid tenso...
Authors: Pia Stammer, Lucas Burigo, Oliver Jäkel, Martin Frank, Niklas Wahl
arXiv
Fast and accurate predictions of uncertainties in the computed dose are crucial for the determination of robust treatment plans in radiation therapy. This requires the solution of particle transport p...
Authors: Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee
arXiv
Uplift modeling is crucial in various applications ranging from marketing and policy-making to personalized recommendations. The main objective is to learn optimal treatment allocations for a heteroge...
Authors: Bingkai Wang, Suzanne M. Dufault, Dylan S. Small, Nicholas P. Jewell
arXiv
In 2019, the World Health Organization identified dengue as one of the top ten global health threats. For the control of dengue, the Applying Wolbachia to Eliminate Dengue (AWED) study group conducted...
Authors: Marius Hofert, Avinash Prasad, Mu Zhu
arXiv
Neural networks are suggested for learning a map from $d$-dimensional samples with any underlying dependence structure to multivariate uniformity in $d'$ dimensions. This map, termed DecoupleNet, is u...
Authors: Mikio Ito
arXiv
This article proposes an estimation method to detect breakpoints for linear time series models with their parameters that jump scarcely. Its basic idea owes the group LASSO (group least absolute shrin...
Authors: Kelly Van Lancker, Sergey Tarima, Jonathan Bartlett, Madeline Bauer, Bharani Bharani-Dharan, Frank Bretz, Nancy Flournoy, Hege Michiels, Camila Olarte Parra, James L Rosenberger, Suzie Cro
arXiv
The COVID-19 pandemic continues to affect the conduct of clinical trials globally. Complications may arise from pandemic-related operational challenges such as site closures, travel limitations and in...
Authors: Christopher W. Lynn, Caroline M. Holmes, William Bialek, David J. Schwab
arXiv
Living systems are fundamentally irreversible, breaking detailed balance and establishing an arrow of time. But how does the evident arrow of time for a whole system arise from the interactions among...
Authors: Heather L Cihak, Tahra L Eissa, Zachary P Kilpatrick
arXiv
Localized persistent cortical neural activity is a validated neural substrate of parametric working memory. Such activity `bumps' represent the continuous location of a cue over several seconds. Pyram...
Authors: Dongyan Yan, Subharup Guha
arXiv
Rapid technological advances have allowed for molecular profiling across multiple omics domains from a single sample for clinical decision making in many diseases, especially cancer. As tumor developm...