Geostatistical inference under preferential sampling PJ Diggle, R Menezes, T Su Journal of the Royal Statistical Society Series C: Applied Statistics 59 (2 …, 2010 | 469 | 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 | 84 | 2011 |
Bootstrap approaches for spatial data P García-Soidán, R Menezes, Ó Rubiños Stochastic environmental research and risk assessment 28, 1207-1219, 2014 | 44 | 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 | 37 | 2009 |
A comparison of approaches for valid variogram achievement R Menezes, P Garcia-Soidán, M Febrero-Bande Computational statistics 20 (4), 623-642, 2005 | 34 | 2005 |
Nonparametric spatial prediction under stochastic sampling design R Menezes, P García-Soidán, C Ferreira Journal of Nonparametric Statistics 22 (3), 363-377, 2010 | 31 | 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, ... medRxiv, 2022.01. 21.22269636, 2022 | 17 | 2022 |
Spatial–temporal modellization of the concentration data through geostatistical tools R Menezes, H Piairo, P García-Soidán, I Sousa Statistical Methods & Applications 25, 107-124, 2016 | 17 | 2016 |
Estimation of the spatial distribution through the kernel indicator variogram P García‐Soidán, R Menezes Environmetrics 23 (6), 535-548, 2012 | 17 | 2012 |
Modelling spatio-temporal data with multiple seasonalities: The NO2 Portuguese case A Monteiro, R Menezes, ME Silva Spatial Statistics 22, 371-387, 2017 | 16 | 2017 |
Assessing spatial dependency under non-standard sampling R Menezes Universidade de Santiago de Compostela, 2005 | 13 | 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 |
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 | 10 | 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 |
Estimating active cases of COVID-19 J Álvarez, C Baquero, E Cabana, JP Champati, AF Anta, D Frey, ... MedRxiv, 2021.12. 09.21267355, 2021 | 9 | 2021 |
A portable lightweight approach to NFS replication R Menezes, C Baquero, F Moura Proceedings of ROSE’94 Conference, Bucharest, 1994 | 9 | 1994 |
Assessing interpolation error for space–time monitoring data L Margalho, R Menezes, I Sousa Stochastic environmental research and risk assessment 28, 1307-1321, 2014 | 8 | 2014 |