Authors: Jiandong Shi, Aimin Wu, Tiejun Tong
arXiv
Meta-analysis is an important tool for combining results from multiple studies and has been widely used in evidence-based medicine for several decades. This paper reports, for the first time, an inter...
Authors: Yaqiong Wang, Minya Xu, Hui Huang, Songxi Chen
arXiv
Accurate and reliable data stream plays an important role in air quality assessment. Air pollution data collected from monitoring networks, however, could be biased due to instrumental error or other...
Authors: Eric Jay Daza
arXiv
Single-subject health data are becoming increasingly available thanks to advances in self-tracking technology (e.g., wearable devices, mobile apps, sensors, implants). Many users and health caregivers...
Authors: Yuval Harel, Ron Meir, Manfred Opper
arXiv
Neural decoding may be formulated as dynamic state estimation (filtering) based on point process observations, a generally intractable problem. Numerical sampling techniques are often practically usef...
Authors: Christoph Simon
arXiv
The hard problem of consciousness is the question how subjective experience arises from brain matter. I suggest exploring the possibility that quantum physics could be part of the answer. The simultan...
Authors: Guilherme Gomes, Vinayak Rao, Jennifer Neville
arXiv
In this work, we consider hypothesis testing and anomaly detection on datasets where each observation is a weighted network. Examples of such data include brain connectivity networks from fMRI flow da...
Authors: Jeffrey M. Shainline
arXiv
Electrons and photons offer complementary strengths for information processing. Photons are excellent for communication, while electrons are superior for computation and memory. Cognition requires dis...
Authors: Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
arXiv
Neuronal circuits formed in the brain are complex with intricate connection patterns. Such complexity is also observed in the retina as a relatively simple neuronal circuit. A retinal ganglion cell re...
Authors: Yuxiang Xie, Nanyu Chen, Xiaolin Shi
arXiv
Online controlled experiments (a.k.a. A/B testing) have been used as the mantra for data-driven decision making on feature changing and product shipping in many Internet companies. However, it is stil...
Authors: Ruitao Lin, Robert L Coleman, Ying Yuan
arXiv
Immunotherapies have revolutionized cancer treatment. Unlike chemotherapies, immune agents often take longer time to show benefit, and the complex and unique mechanism of action of these agents render...
Authors: Sanjay Chaudhuri, Subhro Ghosh, David J. Nott, Kim Cuc Pham
arXiv
Many scientifically well-motivated statistical models in natural, engineering and environmental sciences are specified through a generative process, but in some cases it may not be possible to write d...
Authors: Marco Ballesio, Joakim Beck, Anamika Pandey, Laura Parisi, Erik von Schwerin, Raul Tempone
arXiv
We interpret uncertainty in a model for seismic wave propagation by treating the model parameters as random variables, and apply the Multilevel Monte Carlo (MLMC) method to reduce the cost of approxim...
Authors: Luciano Telesca, Mohamed Laib, Fabian Guignard, Dasaraden Mauree, Mikhail Kanevski
arXiv
In this paper, high frequency wind time series measured at different heights from the ground (from 5.5 to 25.5 meters) in an urban area were investigated. The spectrum of each series is characterized...
Authors: Noah W. Tuchow, Eric B. Ford, Theodore Papamarkou, Alexey Lindo
arXiv
Transit timing variations (TTVs) are a valuable tool to determine the masses and orbits of transiting planets in multi-planet systems. TTVs can be readily modeled given knowledge of the interacting pl...
Authors: Elisa Tosetti, Veronica Vinciotti
arXiv
Mixed Probit models are widely applied in many fields where prediction of a binary response is of interest. Typically, the random effects are assumed to be independent but this is seldom the case for...