Fotos do Departamento

Departamento de Métodos Estatísticos - Instituto de Matemática - UFRJ

Relatórios Técnicos

301 - DYNAMIC QUANTILE LINEAR MODELS: A BAYESIAN APPROACH (pdf)

Kelly C. M. Gon¸calves(DME/IM-UFRJ), Helio S. Migon(DME/IM-UFRJ), Leonardo S. Bastos(PROCC-Fiocruz )

2018

300 - FLEXIBLE ROBUST MIXTURE REGRESSION MODELING (pdf)

Marcus G.Lavagnole Nascimento(DME/IM-UFRJ), Carlos A. Abanto-Valle(DME/IM-UFRJ), Victor H. Lachos(Department of Statistics, University of Connecticut, USA)

2018

299 - STATE SPACE MODELS FOR BINARY RESPONSES WITH GENERALIZED EXTREME VALUE INVERSE LINK: AN APPROXIMATE BAYESIAN APPROACH USING HIDDEN MARKOV MODELS (pdf)

Carlos. A. Abanto-Valle(DME/IM-UFRJ), Hernan B. Garrafa-Aragón(Escuela de Ingenieria Estadistica de la Universidad Nacional de Ingenieria, Lima-Peru), Victor H. Lachos(Department of Statistics, University of Connecticut, USA)

2018

298 - SPACE-TIME CALIBRATION OF WIND SPEED NUMERICAL FORECASTS FROM COMPUTER MODELS (pdf)

Luiz E. S. Gomes, Thaís C. O. Fonseca(DME/IM-UFRJ), Kelly C. M. Gonçalves(DME/IM-UFRJ) Ramiro R. Cárdenas

2018

297 - REFERENCE BAYESIAN ANALYSIS FOR HIERARCHICAL MODELS (pdf)

Thaís C. O. Fonseca(DME/IM-UFRJ), Helio S. Migon(DME/IM-UFRJ), Heudson Mirandola(DM/IM-UFRJ)

2018

296 - BAYESIAN CROSS-VALIDATION OF GEOSTATISTICAL MODELS (pdf)

Viviana G R Lobo(DME/IM-UFRJ),Thaís C O Fonseca(DME/IM-UFRJ),Fernando A S Moura(DME/IM-UFRJ)

2018

295 - A CONSTRUCTION OF THE STABLE WEB (pdf)

Thomas Mountford (EPFL), Krishnamurthi Ravishankar (NYU-ECNU), Glauco Valle (DME/IM-UFRJ)

2018

294 - STOCHASTIC ADDING MACHINES BASED ON BRATTELI DIAGRAMS (pdf)

Danilo Antonio Caprio (UNESP), Ali Messaoudi (UNESP), Glauco Valle (IM-UFRJ)

2018

293 - BAYESIAN FINITE MIXTURE MODELING BASED ON SCALE MIXTURES OF UNIVARIATE AND MULTIVARIATE SKEW-NORMAL DISTRIBUTIONS (pdf)

Marcus G.Lavagnole Nascimento(DME/IM-UFRJ),Carlos A.Abanto-Valle(DME/IM-UFRJ) and Victor H.Lachos(Department of Statistics, University of Connecticut-USA )

2017

292 - STOCHASTIC VOLATILITY WITH HEAVY-TAILS:AN APPROXIMATE BAYESIAN APPROACH USING HIDDEN MARKOV MODELS (pdf)

Carlos A. Abanto-Valle(DME/IM-UFRJ), Dipak K. Dey(Department of Statistics, University of Connecticut-USA),, Ming-Hui Chen and Victor H.Lachos(Department of Statistics, University of Connecticut-USA)

2017

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Desenvolvimento: EJCMEJCM - Empresa Junior de Consultoria em Microinformática