Marcos Oliveira Prates

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Victor Hugo Lachos DavilaProfessor at University of ConnecticutVerified email at uconn.edu
Dipak K. DeyDistinguished Professor of Statistics, UConnVerified email at uconn.edu
Renato AssunçãoESRI Inc. and Department of Computer Science - Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
Celso Rômulo Barbosa CabralFull Professor, Department of Statistics, Federal Univesity of AmazonasVerified email at ufam.edu.br
Michael WilligBoard of Trustees Distinguished Professor & Executive Director of the Institute of the EnvironmentVerified email at uconn.edu
Larissa Avila MatosUniversidade Estadual de CampinasVerified email at ime.unicamp.br
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Marcelo Azevedo CostaFull Professor, Department of Industrial EngineeringVerified email at ufmg.br
Braulio SilvaFederal University of Minas GeraisVerified email at ufmg.br
Jun YanUniversity of ConnecticutVerified email at uconn.edu
Erica Castilho RodriguesUniversidade Federal de Ouro PretoVerified email at iceb.ufop.br
Raquel PratesProfessor of Computer Science, Federal University of Minas Gerais (UFMG)Verified email at dcc.ufmg.br
Ming-Hui ChenUniversity of ConnecticutVerified email at uconn.edu
Denise Reis CostaKreftregisteretVerified email at kreftregisteret.no
Flávio Bambirra GonçalvesAssociate Professor of Statistics, Universidade Federal de Minas GeraisVerified email at est.ufmg.br
Mauricio CastroPontificia Universidad Católica de ChileVerified email at uc.cl
Ying C MacNabUniversity of British ColumbiaVerified email at ubc.ca
Frank ShipmanProfessor, Department of Computer Science and Engineering, Texas A&M UniversityVerified email at cs.tamu.edu
Bráulio Miranda VelosoDoutorando em Ciência da Computação pela Universidade Federal de Ouro PretoVerified email at dcc.ufmg.br
Andrea Iabrudi TavaresProfessor of Computer Science, Universidade Federal de Ouro PretoVerified email at iceb.ufop.br

Marcos Oliveira Prates

Associate professor of Statistics, Universidade Federal de Minas Gerais

Verified email at est.ufmg.br - Homepage

Bayesian methods Machine Learning Spatial Statistics


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Multivariate mixture modeling using skew-normal independent distributions CRB Cabral, VH Lachos, MO Prates Computational Statistics & Data Analysis 56 (1), 126-142, 2012	185	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	161	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	72	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	54	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	48	2015
Alleviating spatial confounding for areal data problems by displacing the geographical centroids MO Prates, RM Assunção, EC Rodrigues	41	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	31	2015
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	24*	2021
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	23	2021
An up-to-date review of scan statistics A Abolhassani, MO Prates Statistic Surveys 15, 111-153, 2021	22	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	19	2015
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	19	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	14	2017
Street drug markets beyond favelas in Belo Horizonte, Brazil E Oliveira, BFA Silva, MO Prates Crime Science 4 (1), 36, 2015	13	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	12	2014
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	11	2022
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	10*	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	10	2015
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	9	2019
Assessing spatial confounding in cancer disease mapping using R DRM Azevedo, D Bandyopadhyay, MO Prates, ASG Abdel‐Salam, ... Cancer Reports 3 (4), e1263, 2020	8	2020

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