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Marcos Oliveira Prates
Marcos Oliveira Prates
Associate professor of Statistics, Universidade Federal de Minas Gerais
Verified email at est.ufmg.br - Homepage
Title
Cited by
Cited by
Year
Multivariate mixture modeling using skew-normal independent distributions
CRB Cabral, VH Lachos, MO Prates
Computational Statistics & Data Analysis 56 (1), 126-142, 2012
1832012
mixsmsn: Fitting finite mixture of scale mixture of skew-normal distributions
MO Prates, VH Lachos, CRB Cabral
Journal of Statistical Software 54, 1-20, 2013
1532013
Likelihood-based inference for mixed-effects models with censored response using the multivariate-t distribution
LA Matos, MO Prates, MH Chen, VH Lachos
Statistica Sinica, 1323-1345, 2013
702013
Relative risk estimates from spatial and space–time scan statistics: are they biased?
MO Prates, M Kulldorff, RM Assunção
Statistics in medicine 33 (15), 2634-2644, 2014
522014
A Bayesian approach to estimate the biomass of anchovies off the coast of Perú
ZC Quiroz, MO Prates, H Rue
Biometrics 71 (1), 208-217, 2015
482015
Alleviating spatial confounding for areal data problems by displacing the geographical centroids
MO Prates, RM Assunção, EC Rodrigues
39*2019
Transformed Gaussian Markov random fields and spatial modeling of species abundance
MO Prates, DK Dey, MR Willig, J Yan
Spatial Statistics 14, 382-399, 2015
28*2015
Too fine to be good? Issues of granularity, uniformity and error in spatial crime analysis
RG Ramos, BFA Silva, KC Clarke, M Prates
Journal of Quantitative Criminology 37, 419-443, 2021
262021
Dynamic time scan forecasting for multi-step wind speed prediction
MA Costa, R Ruiz-Cárdenas, LB Mineti, MO Prates
Renewable Energy 177, 584-595, 2021
21*2021
Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution
LM Castro, DR Costa, MO Prates, VH Lachos
Statistics and computing 25, 1163-1183, 2015
202015
An up-to-date review of scan statistics
A Abolhassani, MO Prates
Statistic Surveys 15, 111-153, 2021
192021
Intervention analysis of hurricane effects on snail abundance in a tropical forest using long-term spatiotemporal data
MO Prates, DK Dey, MR Willig, J Yan
Journal of Agricultural, Biological, and Environmental Statistics 16, 142-156, 2011
192011
Assessing conditions influencing the longitudinal distribution of exotic brown trout (Salmo trutta) in a mountain stream: a spatially-explicit modeling approach
CS Meredith, P Budy, MB Hooten, MO Prates
Biological Invasions 19, 503-519, 2017
142017
Street drug markets beyond favelas in Belo Horizonte, Brazil
E Oliveira, BFA Silva, MO Prates
Crime Science 4 (1), 36, 2015
122015
Generalized linear mixed models for correlated binary data with t-link
MO Prates, DR Costa, VH Lachos
Statistics and Computing 24, 1111-1123, 2014
122014
A robust nonlinear mixed-effects model for COVID-19 death data. Statistics and Its Interface
F Schumacher, C Ferreira, M Prates, A Lachos, V Lachos
Statistics and Its Interface 14 (1), 49-57, 2020
11*2020
Individual and organizational predictors of pediatric psychiatric inpatient admission in Connecticut hospitals: a 6 month secondary analysis
NC Hunter, M Schaefer, B Kurz, MO Prates, A Sinha
Administration and Policy in Mental Health and Mental Health Services …, 2015
102015
Non-separable spatio-temporal models via transformed multivariate Gaussian Markov random fields
MO Prates, DRM Azevedo, YC MacNab, MR Willig
Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022
9*2022
Assessing spatial confounding in cancer disease mapping using R
DRM Azevedo, D Bandyopadhyay, MO Prates, ASG Abdel‐Salam, ...
Cancer Reports 3 (4), e1263, 2020
82020
Flexible regression modeling for censored data based on mixtures of student-t distributions
VH Lachos, CRB Cabral, MO Prates, DK Dey
Computational Statistics 34 (1), 123-152, 2019
82019
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