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
Bayesian Analysis 14 (2), 623-647, 2019
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 (1 …, 2011
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
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 (6), 1163-1183, 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 (2), 419-443, 2021
Street drug markets beyond favelas in Belo Horizonte, Brazil
E Oliveira, BFA Silva, MO Prates
Crime Science 4 (1), 1-11, 2015
Generalized linear mixed models for correlated binary data with t-link
MO Prates, DR Costa, VH Lachos
Statistics and Computing 24 (6), 1111-1123, 2014
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 (2), 503-519, 2017
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
A robust nonlinear mixed-effects model for COVID-19 deaths data
FL Schumacher, CS Ferreira, MO Prates, A Lachos, VH Lachos
arXiv preprint arXiv:2007.00848, 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
rbugs: Fusing R and OpenBugs and Beyond
J Yan, M Prates
R package version 0.5-9, 2013
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
An Exploratory Qualitative Study on People’s Attitudes towards Offline and Online Social Networks: A Case Study at a Brazilian University
MLB Villela, SIR Xavier, RO Prates, MO Prates, AAP Prates, AA Cardoso
Journal on Interactive Systems 6 (1), 2015
Assessing intervention efficacy on high‐risk drinkers using generalized linear mixed models with a new class of link functions
MO Prates, RH Aseltine Jr, DK Dey, J Yan
Biometrical Journal 55 (6), 912-924, 2013
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