Authors: Seungha Um, Samrachana Adhikari
arXiv
Agent-based model (ABM) has been widely used to study infectious disease transmission by simulating behaviors and interactions of autonomous individuals called agents. In the ABM, agent states, for ex...
Authors: Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
arXiv
Many dynamical systems in the real world are naturally described by latent states with intrinsic orderings, such as "ally", "neutral", and "enemy" relationships in international relations. These laten...
Authors: Sandra Nestler, Moritz Helias, Matthieu Gilson
arXiv
Neuronal systems need to process temporal signals. We here show how higher-order temporal (co-)fluctuations can be employed to represent and process information. Concretely, we demonstrate that a simp...
Authors: Lauren D. Liao, Yeyi Zhu, Amanda L. Ngo, Rana F. Chehab, Samuel D. Pimentel
arXiv
Observational studies of treatment effects require adjustment for confounding variables. However, causal inference methods typically cannot deliver perfect adjustment on all measured baseline variable...
Authors: Di Wang, Wen Ye, Ji Zhu, Gongjun Xu, Weijing Tang, Matthew Zawistowski, Lars G. Fritsche, Kevin He
arXiv
Polygenic hazard score (PHS) models designed for European ancestry (EUR) individuals provide ample information regarding survival risk discrimination. Incorporating such information can improve the pe...
Authors: Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura S. Bruckman, Roger French, Yinghui Wu
arXiv
The integration of the global Photovoltaic (PV) market with real time data-loggers has enabled large scale PV data analytical pipelines for power forecasting and long-term reliability assessment of PV...
Authors: Piero Demetrio Falorsi, Stefano Falorsi, Vincenzo Nardelli, Paolo Righi
arXiv
The paper delineates a proper statistical setting for defining the sampling design for a small area estimation problem. This problem is often treated only via indirect estimation using the values of t...
Authors: Elliot Murphy
arXiv
A comprehensive model of natural language processing in the brain must accommodate four components: representations, operations, structures and encoding. It further requires a principled account of ho...
Authors: Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
arXiv
We introduce a Reinforcement Learning Psychotherapy AI Companion that generates topic recommendations for therapists based on patient responses. The system uses Deep Reinforcement Learning (DRL) to ge...
Authors: Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei
arXiv
The impacts of link recommendations on social networks are challenging to evaluate, and so far they have been studied in limited settings. Observational studies are restricted in the kinds of causal q...
Authors: Ludwig A. Hothorn, Mario Hasler
arXiv
Most comparisons of treatments or doses against a control are performed by the original Dunnett single step procedure \cite{Dunnett1955} providing both adjusted p-values and simultaneous confidence in...
Authors: Stefanie I. Becker, Zachary Hamblin-Frohman, Hongfeng Xia, Zeguo Qiu
arXiv
When searching for a lost item, we tune attention to the known properties of the object. Previously, it was believed that attention is tuned to the veridical attributes of the search target (e.g., ora...
Authors: Matthew J. Smith, Rachael V. Phillips, Miguel Angel Luque-Fernandez, Camille Maringe
arXiv
The Targeted Maximum Likelihood Estimation (TMLE) statistical data analysis framework integrates machine learning, statistical theory, and statistical inference to provide a least biased, efficient an...
Authors: Boyu Ren, Stuart R. Lipsitz, Roger D. Weiss, Garrett M. Fitzmaurice
arXiv
Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monotone missingness. More...
Authors: Hang Qi, Ning Jia, Xiaobo Qu, Zhengbing He
arXiv
In the area of urban transportation networks, a growing number of day-to-day (DTD) traffic dynamic theories have been proposed to describe the network flow evolution, and an increasing amount of labor...