| Nonstationary multivariate process modeling through spatially varying coregionalization AE Gelfand, AM Schmidt, S Banerjee, CF Sirmans Test 13, 263-312, 2004 | 416 | 2004 |
| Bayesian inference for non-stationary spatial covariance structure via spatial deformations AM Schmidt, A O'Hagan Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 387 | 2003 |
| A Bayesian coregionalization approach for multivariate pollutant data AM Schmidt, AE Gelfand Journal of Geophysical Research 108 (D24), 8783, 2003 | 206 | 2003 |
| Modelling species diversity through species level hierarchical modelling AE Gelfand, AM Schmidt, S Wu, JA Silander Jr, A Latimer, AG Rebelo Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 …, 2005 | 187 | 2005 |
| Considering covariates in the covariance structure of spatial processes AM Schmidt, P Guttorp, A O'Hagan Environmetrics 22, 487-500, 2011 | 106 | 2011 |
| Spatio‐temporal models for mapping the incidence of malaria in Pará AA Nobre, AM Schmidt, HF Lopes Environmetrics: The official journal of the International Environmetrics …, 2005 | 96 | 2005 |
| A class of covariate-dependent spatiotemporal covariance functions BJ Reich, J Eidsvik, M Guindani, AJ Nail, AM Schmidt The Annals of Applied Statistics 5 (4), 2265, 2011 | 75 | 2011 |
| Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency AM Schmidt, ARB Moreira, SM Helfand, TCO Fonseca Journal of Productivity Analysis 31, 101-112, 2009 | 72 | 2009 |
| Accounting for spatially varying directional effects in spatial covariance structures JHV Neto, AM Schmidt, P Guttorp Journal of the Royal Statistical Society Series C (Applied Statistics) 63 (1 …, 2014 | 55 | 2014 |
| Modelling zero-inflated spatio-temporal processes MVM Fernandes, AM Schmidt, HS Migon Statistical Modelling 9 (1), 3-25, 2009 | 53 | 2009 |
| Stochastic search algorithms for optimal design of monitoring networks R Ruiz‐Cárdenas, MAR Ferreira, AM Schmidt Environmetrics: The official journal of the International Environmetrics …, 2010 | 50 | 2010 |
| Spatio–Temporal Methods in Environmental Epidemiology with R G Shaddick, JV Zidek, AM Schmidt CRC Press, 2023 | 46 | 2023 |
| Revisiting distributed lag models through a Bayesian perspective R R. Ravines, A M. Schmidt, H S. Migon Applied Stochastic Models in Business and Industry 22 (2), 193-210, 2006 | 39 | 2006 |
| Bayesian spatio-temporal models based on discrete convolutions. B Sansó, AM Schmidt, AA Nobre The Canadian Journal of Statistics 36 (2), 239-258, 2008 | 37 | 2008 |
| Multivariate spatial process models: conditional and unconditional Bayesian approaches using coregionalization AE Gelfand, AM Schmidt, CF Sirmans Center for Real Estate and Urban Economic Studies, University of Connecticut, 2002 | 36 | 2002 |
| A joint model for rainfall–runoff: the case of Rio Grande Basin RR Ravines, AM Schmidt, HS Migon, CD Rennó Journal of Hydrology 353 (1-2), 189-200, 2008 | 34 | 2008 |
| Modelling multivariate counts varying continuously in space (with Discussion) AM Schmidt, MA Rodrıguez Bayesian Statistics 9, 611-638, 2011 | 30 | 2011 |
| Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002 GS Ferreira, AM Schmidt Brazilian journal of Probability and Statistics, 29-47, 2006 | 29 | 2006 |
| Modelling Time Series of Counts in Epidemiology AM Schmidt, JBM Pereira International Statistical Review 79, 48-69, 2011 | 28 | 2011 |
| Spatiotemporal models for skewed processes (with Discussion) AM Schmidt, K Gonçalves, PL Velozo Environmetrics 28, e2411, 2017 | 26 | 2017 |
Marco A. RodríguezUniversité du Québec à Trois-RivièresBestätigte E-Mail-Adresse bei uqtr.ca
