Objective Bayesian analysis of spatially correlated data JO Berger, V De Oliveira, B Sansó Journal of the American Statistical Association 96 (456), 1361-1374, 2001 | 617 | 2001 |
Bayesian prediction of transformed Gaussian random fields V De Oliveira, B Kedem, DA Short Journal of the American Statistical Association 92 (440), 1422-1433, 1997 | 324 | 1997 |
Bayesian prediction of clipped Gaussian random fields V De Oliveira Computational Statistics & Data Analysis 34 (3), 299-314, 2000 | 131 | 2000 |
Bayesian analysis of conditional autoregressive models V De Oliveira Annals of the Institute of Statistical Mathematics 64, 107-133, 2012 | 82 | 2012 |
Estimation of regional trends in sulfur dioxide over the eastern United States DM Holland, V De Oliveira, LH Cox, RL Smith Environmetrics 11 (4), 373-393, 2000 | 69 | 2000 |
Bayesian inference and prediction of Gaussian random fields based on censored data V De Oliveira Journal of Computational and Graphical Statistics 14 (1), 95-115, 2005 | 60 | 2005 |
The importance of patient-specific regionally varying wall thickness in abdominal aortic aneurysm biomechanics SS Raut, A Jana, V De Oliveira, SC Muluk, EA Finol Journal of biomechanical engineering 135 (8), 081010, 2013 | 52 | 2013 |
Bayesian reference analysis for Gaussian Markov random fields MAR Ferreira, V De Oliveira Journal of Multivariate Analysis 98 (4), 789-812, 2007 | 45 | 2007 |
Objective Bayesian analysis of spatial data with measurement error V De Oliveira Canadian Journal of Statistics 35 (2), 283-301, 2007 | 42 | 2007 |
Hierarchical Poisson models for spatial count data V De Oliveira Journal of Multivariate Analysis 122, 393-408, 2013 | 36 | 2013 |
Bayesian analysis of simultaneous autoregressive models V De Oliveira, JJ Song Sankhyā: The Indian Journal of Statistics, Series B (2008-), 323-350, 2008 | 32 | 2008 |
Statistical data fusion B Kedem, V De Oliveira, M Sverchkov World Scientific, 2017 | 30 | 2017 |
On optimal point and block prediction in log‐Gaussian random fields V De Oliveira Scandinavian Journal of Statistics 33 (3), 523-540, 2006 | 30 | 2006 |
Bayesian hot spot detection in the presence of a spatial trend: application to total nitrogen concentration in Chesapeake Bay V De Oliveira, MD Ecker Environmetrics: The official journal of the International Environmetrics …, 2002 | 30 | 2002 |
On the correlation structure of Gaussian copula models for geostatistical count data Z Han, V De Oliveira Australian & New Zealand Journal of Statistics 58 (1), 47-69, 2016 | 28 | 2016 |
Decision tree based classification of abdominal aortic aneurysms using geometry quantification measures SA Parikh, R Gomez, M Thirugnanasambandam, SS Chauhan, ... Annals of biomedical engineering 46, 2135-2147, 2018 | 27 | 2018 |
Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields V De Oliveira, MAR Ferreira Metrika 74, 167-183, 2011 | 24 | 2011 |
A simple model for spatial rainfall fields V De Oliveira Stochastic Environmental Research and Risk Assessment 18, 131-140, 2004 | 23 | 2004 |
Poisson kriging: A closer investigation V De Oliveira Spatial Statistics 7, 1-20, 2014 | 22 | 2014 |
A note on the correlation structure of transformed Gaussian random fields V De Oliveira Australian & New Zealand Journal of Statistics 45 (3), 353-366, 2003 | 21 | 2003 |