Authors: Wenyi Li, Shengjie Zheng, Yufan Liao, Rongqi Hong, Weiliang Chen, Chenggnag He, Xiaojian Li
arXiv
Decoding images from brain activity has been a challenge. Owing to the development of deep learning, there are available tools to solve this problem. The decoded image, which aims to map neural spike...
Authors: Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen
arXiv
Trial-to-trial effects have been found in a number of studies, indicating that processing a stimulus influences responses in subsequent trials. A special case are priming effects which have been model...
Authors: Floyd Everest, Michelle Blom, Philip B. Stark, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic
arXiv
Ranked voting systems, such as instant-runoff voting (IRV) and single transferable vote (STV), are used in many places around the world. They are more complex than plurality and scoring rules, present...
Authors: Grzegorz Marcjasz, Michał Narajewski, Rafał Weron, Florian Ziel
arXiv
We present a novel approach to probabilistic electricity price forecasting which utilizes distributional neural networks. The model structure is based on a deep neural network that contains a so-calle...
Authors: Kenneth D. Harris
arXiv
We describe a statistical test for association of two autocorrelated time series, one of which generated randomly at each time point from a known but possibly history-dependent distribution. The null...
Authors: Garth Tarr, Ines Wilms
arXiv
Faced with changing markets and evolving consumer demands, beef industries are investing in grading systems to maximise value extraction throughout their entire supply chain. The Meat Standards Austra...
Authors: Irena Chen, Zhenke Wu, Siobán D. Harlow, Carrie A. Karvonen-Gutierrez, Michelle M. Hood, Michael R. Elliott
arXiv
Longitudinal biomarker data and cross-sectional outcomes are routinely collected in modern epidemiology studies, often with the goal of informing tailored early intervention decisions. For example, ho...
Authors: Nicholas Hartman, Joseph M. Messana, Jian Kang, Abhijit S. Naik, Tempie H. Shearon, Kevin He
arXiv
Risk-adjusted quality measures are used to evaluate healthcare providers while controlling for factors beyond their control. Existing healthcare provider profiling approaches typically assume that the...
Authors: Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang
arXiv
Recently brain networks have been widely adopted to study brain dynamics, brain development and brain diseases. Graph representation learning techniques on brain functional networks can facilitate the...
Authors: Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
arXiv
The free energy principle, and its corollary active inference, constitute a bio-inspired theory that assumes biological agents act to remain in a restricted set of preferred states of the world, i.e.,...
Authors: Bhaskarjit Sarmah, Nayana Nair, Dhagash Mehta, Stefano Pasquali
arXiv
Understanding non-linear relationships among financial instruments has various applications in investment processes ranging from risk management, portfolio construction and trading strategies. Here, w...
Authors: Peiran Liu, Adrian E. Raftery, Hana Sevcikova
arXiv
The bayesTFR package for R provides a set of functions to produce probabilistic projections of the total fertility rates (TFR) for all countries, and is widely used, including as part of the basis for...
Authors: Ashirwad Barnwal, Anuj Sharma, Luis Riera-Garcia, Koray Ozcan, Sayedomidreza Davami, Soumik Sarkar, Cyrus Desouza, Matthew Rizzo, Jennifer Merickel
arXiv
Background: Diabetes is associated with obesity, poor glucose control and sleep dysfunction which impair cognitive and psychomotor functions, and, in turn, increase driver risk. How this risk plays ou...
Authors: Md Jobair Hossain Faruk, Maria Valero, Hossain Shahriar
arXiv
In this study, we illustrate the progress of BCI research and present scores of unveiled contemporary approaches. First, we explore a decoding natural speech approach that is designed to decode human...
Authors: Yuki Atsusaka
arXiv
While rankings are at the heart of social science research, little is known about how to analyze ranking data in experimental studies. This paper introduces a potential-outcomes framework to perform c...