Authors: George Leckie, Lucy Prior, Harvey Goldstein
arXiv
In England, Progress 8 is the Conservative government's headline secondary school performance and accountability measure. Progress 8 attempts to measure the average academic progress pupils make in ea...
Authors: Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke
arXiv
Forest Inventory and Analysis (FIA) is a US Department of Agriculture Forest Service program that aims to monitor changes in forests across the US. FIA hosts one of the largest ecological datasets in...
Authors: Cheng Zheng, Sayan Dasgupta, Yuxiang Xie, Asad Haris, Ying Qing Chen
arXiv
Biomedical researchers usually study the effects of certain exposures on disease risks among a well-defined population. To achieve this goal, the gold standard is to design a trial with an appropriate...
Authors: Tianyi Liu, Enlu Zhou
arXiv
Stochastic simulation has been widely used to analyze the performance of complex stochastic systems and facilitate decision making in those systems. Stochastic simulation is driven by the input model,...
Authors: Arnald Puy, Emanuele Borgonovo, Samuele Lo Piano, Andrea Saltelli
arXiv
De Graaf et al. (2019) suggest that groundwater pumping will bring 42--79\% of worldwide watersheds close to environmental exhaustion by 2050. We are skeptical of these figures due to several non-uniq...
Authors: Virgilio Gómez-Rubio, Michela Cameletti, Marta Blangiardo
arXiv
In this paper we recast the problem of missing values in the covariates of a regression model as a latent Gaussian Markov random field (GMRF) model in a fully Bayesian framework. Our proposed approach...
Authors: Thomas McAndrew, Nutcha Wattanachit, G. Casey Gibson, Nicholas G. Reich
arXiv
Forecasts support decision making in a variety of applications. Statistical models can produce accurate forecasts given abundant training data, but when data is sparse, rapidly changing, or unavailabl...
Authors: Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
arXiv
Algorithmic risk assessments are increasingly used to help humans make decisions in high-stakes settings, such as medicine, criminal justice and education. In each of these cases, the purpose of the r...
Authors: Bismark Singh, David Pozo
arXiv
We describe a simple and succinct methodology to develop hourly auto-regressive moving average (ARMA) models to forecast power output from a photovoltaic solar generator. We illustrate how to build an...
Authors: Antonino Greco, Markus Siegel
arXiv
Understanding how visual information is encoded in biological and artificial systems often requires vision scientists to generate appropriate stimuli to test specific hypotheses. Although deep neural...
Authors: Tarek Frikha
arXiv
The source localization of the human brain activities is an important resource for the recognition of cognitive state, medical disorders and a better understanding of the brain in general. In this stu...
Authors: Talip Zengin, Tuğba Önal-Süzek
arXiv
Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma (LUAD) is the most common form of lung cancer. In this study, we carried out an integrated meta-analy...
Authors: Chen Jia
arXiv
Single-cell RNA sequencing data have complex features such as dropout events, over-dispersion, and high-magnitude outliers, resulting in complicated probability distributions of mRNA abundances that a...
Authors: Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides
arXiv
The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different brain areas. The obj...
Authors: Vilijandas Bagdonavicius, Linas Petkevicius
arXiv
We propose a simple multiple outlier identification method for parametric location-scale and shape-scale models when the number of possible outliers is not specified. The method is based on a result g...