6 papers
Bitcoin UTXO Values Are Heavy-Tailed but not Power-Law Distributed: A Clauset-Shalizi-Newman Test across Eight Snapshots
Carlos Baquero, Raquel Menezes
Power laws are often claimed for Bitcoin quantities from the slope of a log-log plot. We test one such claim with a formal protocol: whether the upper tail of the values of live un…
Visual Spatial Learning: Single-Field Spatial Interpolation Using Convolutional Neural Networks
Daniel Tinoco, Raquel Menezes, Carlos Baquero +1
Predicting a complete spatially correlated field from sparse observations is a fundamental challenge in spatial statistics and environmental modelling. Classical interpolation meth…
Bitcoin's Power Law: Weak Structure, Strong Forecasts
Carlos Baquero, Raquel Menezes
Bitcoin's price has been described as following a power law (PL) in time, with over 2010-2026. We test this claim using the Clauset-Shalizi-Newman p…
Distributed Generalized Linear Models: A Privacy-Preserving Approach
Daniel Tinoco, Raquel Menezes, Carlos Baquero
This paper presents a novel approach to classical linear regression, enabling model computation from data streams or in a distributed setting while preserving data privacy in feder…
Estimating Active Cases of COVID-19
Javier Álvarez, Carlos Baquero, Elisa Cabana +17
Having accurate and timely data on confirmed active COVID-19 cases is challenging, since it depends on testing capacity and the availability of an appropriate infrastructure to per…
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault +22
The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limit…