Authors: Conor Rosato, John Harris, Jasmina Panovska-Griffiths, Simon Maskell
arXiv
State-space models have been widely used to model the dynamics of communicable diseases in populations of interest by fitting to time-series data. Particle filters have enabled these models to incorpo...
Authors: Shun Ogawa, Francesco Fumarola, Luca Mazzucato
arXiv
Changes in an animal's behavioral state, such as arousal and movements, induce {complex modulations of the baseline input currents to sensory areas, eliciting sensory modality-specific effects. A simp...
Authors: Yifan He, Ruiyang Wu, Yong Zhou, Yang Feng
arXiv
Distributed statistical learning has become a popular technique for large-scale data analysis. Most existing work in this area focuses on dividing the observations, but we propose a new algorithm, DDA...
Authors: Ville Laitinen, Leo Lahti
arXiv
A broad range of natural and social systems from human microbiome to financial markets can go through critical transitions, where the system suddenly collapses to another stable configuration. Critica...
Authors: Ahmad Karimi, Marcel Moosbrugger, Miroslav StankoviÄ, Laura KovĂĄcs, Ezio Bartocci, Efstathia Bura
arXiv
We present an algorithmic approach to estimate the value distributions of random variables of probabilistic loops whose statistical moments are (partially) known. Based on these moments, we apply two...
Authors: Yuhao Huang, Corey Keller
arXiv
While many human imaging methodologies probe the structural and functional connectivity of the brain, techniques to investigate cortical networks in a causal and directional manner are critical but li...
Authors: Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex Leow, Paul Thompson, Heng Huang, Liang Zhan
arXiv
MRI-based modeling of brain networks has been widely used to understand functional and structural interactions and connections among brain regions, and factors that affect them, such as brain developm...
Authors: Pablo Dorta-GonzĂĄlez, Emilio GĂłmez-DĂ©niz
arXiv
There are different citation habits in the research fields that influence the obsolescence of the research literature. We analyze the distinctive obsolescence of research literature in disciplinary jo...
Authors: Luca Barbaglia, Sergio Consoli, Sebastiano Manzan
arXiv
The goal of this paper is to evaluate the informational content of sentiment extracted from news articles about the state of the economy. We propose a fine-grained aspect-based sentiment analysis that...
Authors: Sajal Kumar Giri, Himangshu Prabal Goswami
arXiv
External driving of bath temperatures with a phase difference of a nonequilibrium quantum engine leads to the emergence of geometric effects on the thermodynamics. In this work, we modulate the amplit...
Authors: Jase Clarkson, Mihai Cucuringu, Andrew Elliott, Gesine Reinert
arXiv
Generative models for network time series (also known as dynamic graphs) have tremendous potential in fields such as epidemiology, biology and economics, where complex graph-based dynamics are core ob...
Authors: Jane Pan, Sudipto Banerjee
arXiv
We present a bayesassurance R package that computes the Bayesian assurance under various settings characterized by different assumptions and objectives. The package offers a constructive set of simula...
Authors: Marcos Faundez-Zanuy, Antonio Satue-Villar, Jiri Mekyska, Viridiana Arreola, Pilar Sanz, Carles Paul, Luis Guirao, Mateu Serra, Laia Rofes, Pere Clavé, Enric Sesa-Nogueras, Josep Roure
arXiv
Parkinson's disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1-1 %, and an annual incidence between 1.3-2.0/10000 inhabitants. The...
Authors: Jesse W. Birchfield, Nicholas J. Tustison, Andrew J. Holbrook
arXiv
MRI-based entorhinal cortical thickness (eCT) measurements predict cognitive decline in Alzheimer's disease (AD) with low cost and minimal invasiveness. Two prominent imaging paradigms, FreeSurfer (FS...
Authors: Xuan Zhang, Tingdi Ren, Lihong Wang, Haiyong Xu
arXiv
Studying the history of music may provide a glimpse into the development of human creativity as we examine the evolutionary and revolutionary trends in music and genres. First, a musical influence met...