Authors: Sungduk Kim, Yingmei Xi, Ming-Hui Chen
arXiv
To address an important risk classification issue that arises in clinical practice, we propose a new mixture model via latent cure rate markers for survival data with a cure fraction. In the propose...
Authors: Shao-Ming Xie
arXiv
Whether stochastic or parametric, the Pareto/NBD model can only be utilized for an in-sample prediction rather than an out-of-sample prediction. This research thus provides a neural network based exte...
Authors: Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran, Uttara Tipnis, Meenusree Rajapandian, Evgeny Chumin, Mario Ventresca, Jaroslaw Harezlak, JoaquĆn GoƱi
arXiv
Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication process...
Authors: Peter W. Marcy, Scott A. Vander Wiel, Curtis B. Storlie, Veronica Livescu, Curt A. Bronkhorst
arXiv
The equations of a physical constitutive model for material stress within tantalum grains were solved numerically using a tetrahedrally meshed volume. The resulting output included a scalar vonMises s...
Authors: Aleksey Buzmakov, Daria Semenova, Maria Temirkaeva
arXiv
Today, treatment effect estimation at the individual level is a vital problem in many areas of science and business. For example, in marketing, estimates of the treatment effect are used to select the...
Authors: Luigi Lombardo, Thomas Opitz, Francesca Ardizzone, Fausto Guzzetti, Raphaƫl Huser
arXiv
Landslides are nearly ubiquitous phenomena and pose severe threats to people, properties, and the environment. Investigators have for long attempted to estimate landslide hazard to determine where, wh...
Authors: Feilong Wang, Jingxing Wang, Jinzhou Cao, Cynthia Chen, Xuegang, Ban
arXiv
Passively-generated data, such as GPS data and cellular data, bring tremendous opportunities for human mobility analysis and transportation applications. Since their primary purposes are often non-tra...
Authors: Marius Ćtting, Andreas Groll
arXiv
Although academic research on the 'hot hand' effect (in particular, in sports, especially in basketball) has been going on for more than 30 years, it still remains a central question in different area...
Authors: Eilif B. Muller, Philippe Beaudoin
arXiv
The fields of artificial intelligence and neuroscience have a long history of fertile bi-directional interactions. On the one hand, important inspiration for the development of artificial intelligence...
Authors: Arnab Hazra, Raphaƫl Huser
arXiv
In this work, we estimate extreme sea surface temperature (SST) hotspots, i.e., high threshold exceedance regions, for the Red Sea, a vital region of high biodiversity. We analyze high-resolution sate...
Authors: Birgitta Dresp-Langley, Adam Reeves
arXiv
The neural networks of the human visual brain derive representations of three-dimensional structure from specific two-dimensional image cues. Neural models backed by psychophysical data predict how lo...
Authors: Kathleen Finlinson, Woodrow L. Shew, Daniel B. Larremore, Juan G. Restrepo
arXiv
Experiments suggest that cerebral cortex gains several functional advantages by operating in a dynamical regime near the critical point of a phase transition. However, a long-standing criticism of thi...
Authors: Rich Pang
arXiv
We present a novel way to encode compositional information in high-dimensional (HD) vectors. Inspired by chromosomal crossover, random HD vectors are recursively interwoven, with a fraction of one vec...
Authors: Shun Kimura, Koujin Takeda
arXiv
Neuronal ensemble inference is one of the significant problems in the study of biological neural networks. Various methods have been proposed for ensemble inference from their activity data taken expe...
Authors: Samuele Centorrino, Aman Ullah, Jing Xue
arXiv
We study a linear random coefficient model where slope parameters may be correlated with some continuous covariates. Such a model specification may occur in empirical research, for instance, when quan...