Marcos Oliveira Prates
Marcos Oliveira Prates
Associate professor of Statistics, Universidade Federal de Minas Gerais
Verified email at - Homepage
Cited by
Cited by
Multivariate mixture modeling using skew-normal independent distributions
CRB Cabral, VH Lachos, MO Prates
Computational Statistics & Data Analysis 56 (1), 126-142, 2012
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
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
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
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
Alleviating spatial confounding for areal data problems by displacing the geographical centroids
MO Prates, RM Assunção, EC Rodrigues
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
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
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
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
An up-to-date review of scan statistics
A Abolhassani, MO Prates
Statistic Surveys 15, 111-153, 2021
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
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
Street drug markets beyond favelas in Belo Horizonte, Brazil
E Oliveira, BFA Silva, MO Prates
Crime Science 4 (1), 36, 2015
Generalized linear mixed models for correlated binary data with t-link
MO Prates, DR Costa, VH Lachos
Statistics and Computing 24, 1111-1123, 2014
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
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
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
Assessing spatial confounding in cancer disease mapping using R
DRM Azevedo, D Bandyopadhyay, MO Prates, ASG Abdel‐Salam, ...
Cancer Reports 3 (4), e1263, 2020
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
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