Geostatistical inference under preferential sampling PJ Diggle, R Menezes, T Su
Journal of the Royal Statistical Society Series C: Applied Statistics 59 (2 …, 2010
482 2010 Extrema propagation: Fast distributed estimation of sums and network sizes C Baquero, PS Almeida, R Menezes, P Jesus
IEEE Transactions on Parallel and Distributed Systems 23 (4), 668-675, 2011
86 2011 Bootstrap approaches for spatial data P García-Soidán, R Menezes, Ó Rubiños
Stochastic environmental research and risk assessment 28, 1207-1219, 2014
45 2014 Fast estimation of aggregates in unstructured networks C Baquero, PS Almeida, R Menezes
2009 Fifth International Conference on Autonomic and Autonomous Systems, 88-93, 2009
41 2009 A comparison of approaches for valid variogram achievement R Menezes, P Garcia-Soidán, M Febrero-Bande
Computational statistics 20 (4), 623-642, 2005
36 2005 Nonparametric spatial prediction under stochastic sampling design R Menezes, P García-Soidán, C Ferreira
Journal of Nonparametric Statistics 22 (3), 363-377, 2010
32 2010 A kernel variogram estimator for clustered data R Menezes, P Garcia‐Soidán, M Febrero‐Bande
Scandinavian Journal of Statistics 35 (1), 18-37, 2008
22 2008 Estimating the COVID-19 prevalence in Spain with indirect reporting via open surveys A Garcia-Agundez, O Ojo, HA Hernández-Roig, C Baquero, D Frey, ...
Frontiers in Public Health 9, 658544, 2021
20 2021 Using survey data to estimate the impact of the omicron variant on vaccine efficacy against COVID-19 infection J Rufino, C Baquero, D Frey, CA Glorioso, A Ortega, N Reščič, JC Roberts, ...
Scientific Reports 13 (1), 900, 2023
18 2023 Spatial–temporal modellization of the R Menezes, H Piairo, P García-Soidán, I Sousa
Statistical Methods & Applications 25, 107-124, 2016
18 2016 Estimation of the spatial distribution through the kernel indicator variogram P García‐Soidán, R Menezes
Environmetrics 23 (6), 535-548, 2012
18 2012 Modelling spatio-temporal data with multiple seasonalities: The NO2 Portuguese case A Monteiro, R Menezes, ME Silva
Spatial Statistics 22, 371-387, 2017
17 2017 Assessing spatial dependency under non-standard sampling R Menezes
Universidade de Santiago de Compostela, 2005
14 2005 Bayesian spatio‐temporal CPUE standardization: Case study of European sardine (Sardina pilchardus ) along the western coast of Portugal F Izquierdo, R Menezes, L Wise, A Teles‐Machado, S Garrido
Fisheries Management and Ecology 29 (5), 670-680, 2022
11 2022 Estimating active cases of COVID-19 J Álvarez, C Baquero, E Cabana, JP Champati, AF Anta, D Frey, ...
MedRxiv, 2021.12. 09.21267355, 2021
11 2021 CoronaSurveys: using surveys with indirect reporting to estimate the incidence and evolution of epidemics O Ojo, A García-Agundez, B Girault, H Hernández, E Cabana, ...
arXiv preprint arXiv:2005.12783, 2020
11 2020 Mixed-effects modeling for analyzing land use change in the Brazilian Pantanal subregion of Cáceres EAS Galvanin, R Menezes, MHX Pereira, SMAS Neves
Remote Sensing Applications: Society and Environment 13, 408-414, 2019
11 2019 Development of a statistical method to help evaluating the transparency/opacity of decorative thin films CI da Silva Oliveira, D Martinez-Martinez, A Al-Rjoub, L Rebouta, ...
Applied Surface Science 438, 51-58, 2018
10 2018 A portable lightweight approach to NFS replication R Menezes, C Baquero, FCS Moura
9 1994 Spatial modeling of factor analysis scores: The case of heavy metal biomonitoring in mainland Portugal H Piairo, R Menezes, I Sousa, R Figueira, C Sérgio
Environmental Science and Pollution Research 21, 13420-13433, 2014
8 2014 
Carlos BaqueroProfessor at DEI, FEUP, University of Porto. Researcher at HASLab, INESC TEC.Dirección de correo verificada de fe.up.pt
