Antonio Fernández Anta
Biographic Data
| ID | 862712 |
|---|---|
| NAME | Antonio Fernández Anta |
| GIVEN NAMES | Antonio Fernández |
| FAMILY NAME | Anta |
| SIGNATURE | ANTA A F |
| AFFILIATIONS | IMDEA Networks |
| ORCID | 0000-0001-6501-2377 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Network scale-up methods on aggregated relational data to estimate the outcome of elections
The Network Scale-Up Method (NSUM) is an estimation framework that aims to determine the size of hidden or hard-to-reach populations from questions such as “How many people do you know who belong to the target population?” The information collected from these questions is commonly referred to as aggregated relational data (ARD), and the estimation of hidden population sizes using NSUM in ARD has been widely applied to key problems in sociology an…
Robust network scale-up method estimators
Coronasurveys
Introducción: Seguir la evolución del COVID-19 ha sido esencial para la toma de decisiones sanitarias. Pero ello requiere de cifras fiables de los infectados, muertos y hospitalizados, muchas veces complicadas de tener por múltiples razones. El uso de técnicas de estimación rápidas y fiables, como las encuestas indirectas, es una opción. Objetivos: Presentar el proyecto CoronaSurveys, el cual monitorea el COVID-19 combinando encuestas indirectas …
Estimating the Covid-19 Prevalence in Spain With Indirect Reporting via Open Surveys
During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89). In our view, these …
How resilient is the open web to the Covid-19 pandemic
Estimating the Covid-19 Prevalence in Spain With Indirect Reporting via Open Surveys
During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89). In our view, these …
How resilient is the open web to the Covid-19 pandemic
Coronasurveys
Introducción: Seguir la evolución del COVID-19 ha sido esencial para la toma de decisiones sanitarias. Pero ello requiere de cifras fiables de los infectados, muertos y hospitalizados, muchas veces complicadas de tener por múltiples razones. El uso de técnicas de estimación rápidas y fiables, como las encuestas indirectas, es una opción. Objetivos: Presentar el proyecto CoronaSurveys, el cual monitorea el COVID-19 combinando encuestas indirectas …
Network scale-up methods on aggregated relational data to estimate the outcome of elections
The Network Scale-Up Method (NSUM) is an estimation framework that aims to determine the size of hidden or hard-to-reach populations from questions such as “How many people do you know who belong to the target population?” The information collected from these questions is commonly referred to as aggregated relational data (ARD), and the estimation of hidden population sizes using NSUM in ARD has been widely applied to key problems in sociology an…
Robust network scale-up method estimators
Computer Science (3 works) · Geography (2 works) · Mathematics (2 works) · Medicine (2 works) · Pandemic (2 works) · Statistics (2 works) · World Wide Web (2 works) · 2019-20 coronavirus outbreak (1 work) · Advanced Statistical Methods and Models (1 work) · Bayesian Methods and Mixture Models (1 work)