Ricardo S Ehlers 个人学术档案

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	总计	2019 年至今
引用	843	394
h 指数	13	9
i10 指数	14	8

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Francisco LouzadaUniversidade de São Paulo在 icmc.usp.br 的电子邮件经过验证
MARINHO GOMES DE ANDRADE FIL...USP-ICMC在 icmc.usp.br 的电子邮件经过验证
Steve BrooksSelect Statistics在 select-statistics.co.uk 的电子邮件经过验证
Júlio Cezar EstrellaProfessor of Computer Science, University of Sao Paulo - ICMC-USP在 icmc.usp.br 的电子邮件经过验证
Jose Augusto FiorucciProfessor de Estatística, Universidade de Brasília在 unb.br 的电子邮件经过验证
Pedro Luiz RamosPontificia Universidad Católica de Chile在 mat.uc.cl 的电子邮件经过验证
Regina Santana在 icmc.usp.br 的电子邮件经过验证
Marco Pollo AlmeidaPhD in Statistics在 alumni.usp.br 的电子邮件经过验证
Mauricio ZevallosDepartment of Statistics, University of Campinas (UNICAMP)在 ime.unicamp.br 的电子邮件经过验证
Marcelo HartmannUniversity of Helsinki在 helsinki.fi 的电子邮件经过验证
Gabriel PorcileCEPAL Oficial de Asuntos Económicos在 cepal.org 的电子邮件经过验证
Éder BritoProfessor de Matemática/Estatística - Instituto Federal de Goiás在 ifg.edu.br 的电子邮件经过验证
Jorge Luis BazanUniversidade de São Paulo在 icmc.usp.br 的电子邮件经过验证
Adriano Kamimura SuzukiProfessor do Departamento de Matemática Aplicada e Estatística da Universidade de São Paulo在 icmc.usp.br 的电子邮件经过验证
Hedibert Freitas LopesProfessor of Statistics and Econometrics - INSPER Institute of Education and Research在 insper.edu.br 的电子邮件经过验证
Dani GamermanProfessor of Statistics, Universidade Federal do Rio de Janeiro在 im.ufrj.br 的电子邮件经过验证
LUIZ LEDO MOTA MELO JUNIORProfessor Estatística Universidade Tecnológica Federal do Paraná在 utfpr.edu.br 的电子邮件经过验证
Marco A. R. FerreiraProfessor of Statistics, Virginia Tech在 vt.edu 的电子邮件经过验证
Vera TomazellaFederal University of Sao Carlos

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Ricardo S Ehlers

Universidade de Sao Paulo

在 icmc.usp.br 的电子邮件经过验证 - 首页

Bayesian Statistics Time Series Econometrics MCMC


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
Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring ES Brito, PH Ferreira, VLD Tomazella, DSB Martins Neto, RS Ehlers Communications in Statistics-Simulation and Computation, 1-25, 2023	3	2023
Análise Espacial dos casos de dengue no estado da Paraíba: uma aplicação com a RIE SRS Bezerra, RS Ehlers, MS Peixoto, MI de Andrade Araújo, ... Sigmae 12 (3), 240-252, 2023		2023
Bayesian Inference in Stochastic Volatility in Mean Models using Hamiltonian Monte Carlo Method BE Holtz, RS Ehlers Livro de Resumos, 2023		2023
Estimation of stochastic volatility models with leverage and heavy tails using Stan software RRH Condori, RS Ehlers Livro de Resumos, 2023		2023
Bayesian influence diagnostics using normalized functional Bregman divergence IM Danilevicz, RS Ehlers Communications in Statistics - Theory and Methods 51, 1637-1652, 2022	1	2022
Inferência para a distribuição very flexible Weibull baseada em censura tipo II progressiva DSB Martins Neto, ES Brito, PH Ferreira, VLD Tomazella, RS Ehlers Livro de Resumos, 2022		2022
Bayesian Non-Parametric Frailty Model for Dependent Competing Risks in a Repairable Systems Framework MP Almeida, R Paixao, P Ramos, V Tomazella, F Louzada, R Ehlers Reliability Engineering and System Safety, 2020	22	2020
Multiple repairable systems under dependent competing risks with nonparametric Frailty MP Almeida, R Paixao, P Ramos, V Tomazella, F Louzada, R Ehlers arXiv preprint arXiv:2004.05217, 2020	1	2020
Objective Bayesian analysis for the Lomax distribution PH Ferreira, E Ramos, PL Ramos, JFB Gonzales, VLD Tomazella, ... Statistics & Probability Letters 159, 108677, 2020	18	2020
A Conway-Maxwell-Poisson GARMA model for count time series data RS Ehlers Resumos, 2020		2020
Bayesian influence diagnostics using normalizing functional Bregman divergence IM Danilevicz, RS Ehlers arXiv preprint arXiv:1904.03717, 2019		2019
A Conway-Maxwell-Poisson GARMA Model for Count Data RS Ehlers arXiv preprint arXiv:1901.07473, 2019	1	2019
Modeling Compositional Regression with Uncorrelated and Correlated Errors: A Bayesian approach TKO Shimizu, F Louzada, AK Suzuki, RS Ehlers Journal of Data Science 16 (2), 221-250, 2018	4	2018
Zero-Variance principle for Hamiltonian Monte Carlo in GJR-GARCH models RS Paixão, RS Ehlers Abstracts, 2018		2018
Riemann Manifold Langevin Methods on Stochastic Volatility Estimation M Zevallos, L Gasco, R Ehlers Communications in Statistics - Simulation and Computation 46 (10), 7942-7956, 2017	4	2017
Stochastic Volatility Models using Hamiltonian Monte Carlo Methods and Stan DS Dias, RS Ehlers arXiv preprint arXiv:1710.07693, 2017	2	2017
Stochastic Volatily Models using Hamiltonian Monte Carlo Methods and Stan DSDRS Ehlersb arXiv preprint arXiv:1712.02326, 2017		2017
Zero Variance and Hamiltonian Monte Carlo Methods in GARCH Models RS Paixão, RS Ehlers arXiv preprint arXiv:1710.07693, 2017	1	2017
Bayesian Inference for Generalized Extreme Value Distributions via Hamiltonian Monte Carlo M Hartmann, RS Ehlers Communications in Statistics - Simulation and Computation 46 (7), 5285-5302, 2017	10	2017
Bayesian estimation of the Kumaraswamy inverse Weibull distribution FRS de Gusmão, VLD Tomazella, RS Ehlers Journal of Statistical Theory and Applications 16 (2), 248-260, 2017	3	2017

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