activity
20202024
most citedOutlier Detection for Functional Data with R Package fdaoutlier

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2024★ 1 cited

Error Bounds for the Network Scale-Up Method

Sergio Díaz-Aranda, Juan Marcos Ramírez, Mohit Daga +4

Epidemiologists and social scientists have used the Network Scale-Up Method (NSUM) for over thirty years to estimate the size of a hidden sub-population within a social network. Th…

cs.SI2023

Nowcasting Temporal Trends Using Indirect Surveys

Ajitesh Srivastava, Juan Marcos Ramírez, Sergio Díaz-Aranda +4

Indirect surveys, in which respondents provide information about other people they know, have been proposed for estimating (nowcasting) the size of a \emph{hidden population} where…

physics.soc-ph2021

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…

stat.CO2021★ 1 cited

Outlier Detection for Functional Data with R Package fdaoutlier

Oluwasegun Ojo, Rosa E. Lillo, Antonio Fernández Anta

Outlier detection is one of the standard exploratory analysis tasks in functional data analysis. We present the R package fdaoutlier which contains implementations of some of the l…

cs.DC2020

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…