Authors: Li Xu, Molin Wang
arXiv
In epidemiological studies, very often, evaluators obtain measurements of disease outcomes for study participants. In this paper, we propose a two-stage procedure for detecting outlier evaluators. In...
Authors: Jacob Granley, Alexander Riedel, Michael Beyeler
arXiv
Cortical prostheses are devices implanted in the visual cortex that attempt to restore lost vision by electrically stimulating neurons. Currently, the vision provided by these devices is limited, and...
Authors: Andrew M. Thomas, Peter A. Crozier, Yuchen Xu, David S. Matteson
arXiv
We propose a flexible algorithm for feature detection and hypothesis testing in images with ultra low signal-to-noise ratio using cubical persistent homology. Our main application is in the identifica...
Authors: Manvi Jain, C. M. Markan
arXiv
Fast and efficient strategies for modulation of attention have been extensively studied recently. The present study has attempted to observe the effect of brief meditation practices on executive contr...
Authors: Xiao Qi
arXiv
Random walk based sampling methods have been widely used in graph sampling in recent years, while it has bias towards higher degree nodes in the sample. To overcome this deficiency, classical methods...
Authors: Elizabeth Eldhose, Tejasvi Chauhan, Vikram Chandel, Subimal Ghosh, Auroop R. Ganguly
arXiv
Causal and attribution studies are essential for earth scientific discoveries and critical for informing climate, ecology, and water policies. However, the current generation of methods needs to keep...
Authors: Padinhare Cholakkal Harikesh, Chi-Yuan Yang, Han-Yan Wu, Silan Zhang, Jun-Da Huang, Magnus Berggren, Deyu Tu, Simone Fabiano
arXiv
Bio-integrated neuromorphic systems promise for new protocols to record and regulate the signaling of biological systems. Making such artificial neural circuits successful requires minimal circuit com...
Authors: Ăngel F. GarcĂa-FernĂĄndez, Yuxuan Xia, Lennart Svensson
arXiv
This paper shows that the Poisson multi-Bernoulli mixture (PMBM) density is a multi-target conjugate prior for general target-generated measurement distributions and arbitrary clutter distributions. T...
Authors: Didong Li, Phuc Nguyen, Zhengwu Zhang, David B Dunson
arXiv
The brain structural connectome is generated by a collection of white matter fiber bundles constructed from diffusion weighted MRI (dMRI), acting as highways for neural activity. There has been abunda...
Authors: Sergio GonzĂĄlez, Wan-Ting Hsieh, Davide Burba, Trista Pei-Chun Chen, Chun-Li Wang, Victor Chien-Chia Wu, Shang-Hung Chang
arXiv
Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic. Machine learning models can estimate more compl...
Authors: Antonina M. Kosikova, Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
arXiv
Bayesian model updating based on Gaussian Process (GP) models has received attention in recent years, which incorporates kernel-based GPs to provide enhanced fidelity response predictions. Although mo...
Authors: Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
arXiv
Functional magnetic resonance imaging (fMRI) has become one of the most common imaging modalities for brain function analysis. Recently, graph neural networks (GNN) have been adopted for fMRI analysis...
Authors: Yongtong Wu, Kejia Hu, Shenquan Liu
arXiv
Deep brain stimulation(DBS)has become an effective intervention for advanced Parkinson's disease, but the exact mechanism of DBS is still unclear. In this review, we discuss the history of DBS, the an...
Authors: Yunran Wei, Ricardas Zitikis
arXiv
This paper offers a mathematical invention that shows how to convert integrated quantiles, which often appear in risk measures, into integrated cumulative distribution functions, which are technically...
Authors: Guillaume Chennetier, Hassane Chraibi, Anne Dutfoy, Josselin Garnier
arXiv
Piecewise deterministic Markov processes (PDMPs) can be used to model complex dynamical industrial systems. The counterpart of this modeling capability is their simulation cost, which makes reliabilit...