Marcos Oliveira Prates 个人学术档案

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	总计	2019 年至今
引用	921	604
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Victor Hugo Lachos DavilaProfessor at University of Connecticut在 uconn.edu 的电子邮件经过验证
Dipak K. DeyDistinguished Professor of Statistics, UConn在 uconn.edu 的电子邮件经过验证
Renato AssunçãoESRI Inc. and Department of Computer Science - Universidade Federal de Minas Gerais在 dcc.ufmg.br 的电子邮件经过验证
Celso Rômulo Barbosa CabralFull Professor, Department of Statistics, Federal Univesity of Amazonas在 ufam.edu.br 的电子邮件经过验证
Michael WilligBoard of Trustees Distinguished Professor & Executive Director of the Institute of the Environment在 uconn.edu 的电子邮件经过验证
Larissa Avila MatosUniversidade Estadual de Campinas在 ime.unicamp.br 的电子邮件经过验证
Håvard RueKing Abdullah University of Science and Technology在 kaust.edu.sa 的电子邮件经过验证
Marcelo Azevedo CostaFull Professor, Department of Industrial Engineering在 ufmg.br 的电子邮件经过验证
Braulio SilvaFederal University of Minas Gerais在 ufmg.br 的电子邮件经过验证
Jun YanUniversity of Connecticut在 uconn.edu 的电子邮件经过验证
Erica Castilho RodriguesUniversidade Federal de Ouro Preto在 iceb.ufop.br 的电子邮件经过验证
Raquel PratesProfessor of Computer Science, Federal University of Minas Gerais (UFMG)在 dcc.ufmg.br 的电子邮件经过验证
Denise Reis CostaKreftregisteret在 kreftregisteret.no 的电子邮件经过验证
Ming-Hui ChenUniversity of Connecticut在 uconn.edu 的电子邮件经过验证
Flávio Bambirra GonçalvesAssociate Professor of Statistics, Universidade Federal de Minas Gerais在 est.ufmg.br 的电子邮件经过验证
Mauricio CastroPontificia Universidad Católica de Chile在 uc.cl 的电子邮件经过验证
Ying C MacNabUniversity of British Columbia在 ubc.ca 的电子邮件经过验证
Frank ShipmanProfessor, Department of Computer Science and Engineering, Texas A&M University在 cs.tamu.edu 的电子邮件经过验证
Bráulio Miranda VelosoDoutorando em Ciência da Computação pela Universidade Federal de Ouro Preto在 dcc.ufmg.br 的电子邮件经过验证
Andrea Iabrudi TavaresProfessor of Computer Science, Universidade Federal de Ouro Preto在 iceb.ufop.br 的电子邮件经过验证

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Marcos Oliveira Prates

Associate professor of Statistics, Universidade Federal de Minas Gerais

在 est.ufmg.br 的电子邮件经过验证 - 首页

Bayesian methods Machine Learning Spatial Statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Multivariate mixture modeling using skew-normal independent distributions CRB Cabral, VH Lachos, MO Prates Computational Statistics & Data Analysis 56 (1), 126-142, 2012	186	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	71	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	30	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	25	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	23*	2021
An up-to-date review of scan statistics A Abolhassani, MO Prates Statistic Surveys 15, 111-153, 2021	20	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	14	2015
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	12*	2020
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
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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