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 WilligUniversity of ConnecticutVerified email at uconn.edu
Larissa Avila MatosUniversidade Estadual de CampinasVerified email at ime.unicamp.br
Jun YanUniversity of ConnecticutVerified email at uconn.edu
Braulio SilvaFederal University of Minas GeraisVerified email at ufmg.br
Erica Castilho RodriguesUniversidade Federal de Ouro PretoVerified email at iceb.ufop.br
Marcelo Azevedo CostaFull Professor, Department of Industrial EngineeringVerified email at ufmg.br
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Denise Reis CostaCentre for Educational Measurement (CEMO)Verified email at cemo.uio.no
Ming-Hui ChenUniversity of ConnecticutVerified email at uconn.edu
Flávio Bambirra GonçalvesAssociate Professor of Statistics, Universidade Federal de Minas GeraisVerified email at est.ufmg.br
Raquel PratesProfessor of Computer Science, Federal University of Minas Gerais (UFMG)Verified email at dcc.ufmg.br
Martin KulldorffBrownstone InstituteVerified email at brownstone.org
Mauricio CastroPontificia Universidad Católica de ChileVerified email at mat.puc.cl
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


Title Sort by citations Sort by year Sort by 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	161	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	132	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	58	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	46	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	42	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	28*	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	19	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	18*	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	17	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	15	2021
Street drug markets beyond favelas in Belo Horizonte, Brazil E Oliveira, BFA Silva, MO Prates Crime Science 4 (1), 1-11, 2015	13	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	10	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	9	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	8*	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	8	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	8	2015
rbugs: Fusing R and OpenBugs and Beyond J Yan, M Prates R package version 0.5-9, 2013	7	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	6	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	5	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	5	2013

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