Welcome to Thiago's Homepage


 

Thiago Rezende dos Santos

Assistant Professor
Department of Statistics

ICEX
Universidade Federal de Minas Gerais
Avenida Presidente Antônio Carlos, 6627, ICEX, Departamento de Estatística – Pampulha, Belo Horizonte - Minas Gerais, 31270-901

Email: (thiagords at est.ufmg.br  or thiagors at iceb.ufop.br)

My curriculum Lattes

      "The ability to simplify means to eliminate the unnecessary so that the necessary may speak." Hans Hoffmann.

Education

Research

My research interests are:

Projects

Easy Sample Size Project:

Este projeto tem fins puramente pedagógicos e acadêmicos, indicando

materiais, códigos e softwares para o cálculo do tamanho amostral

em diversas técnicas estatísticas aos interessados.

 

Packages

NGSSMEL Package:

This package provides some functions for modeling and

forecasting non-Gaussian time series via non-Gaussian state

space models with exact marginal likelihood.

Disclaimer: Use of any code from this package is at own risk!

 

Publications

Papers


1. SANTOS, T. R.; Gamerman, D. ; FRANCO, G. C. . Reliability Analysis via Non-Gaussian State-Space Models.

 IEEE Transactions on Reliability, v. 66, p. 309-318, 2017.

2. SANTOS, T. R. Uma comparação dos modelos SARIMA e estruturais para a previsão da incidência de Dengue em Belo Horizonte, Minas Gerais.

Revista Brasileira de Biometria, v. 35, p. 98-114, 2017.

3. MIRANDA, L. F. J. R. ; GOMES, K. B. ; TITO, P. A. L. ; SILVEIRA, J. N. ; PIANETTI, G. A. ; BYRRO, R. M. D. ; PELES, P. R. H. ;

PEREIRA, F. H. ; SANTOS, T. R. ; ASSINI, A. G. ; RIBEIRO, V. V. ; MORAES, E. N. ; CARAMELLI, P. 

Clinical response to donepezil in mild and moderate dementia: relationship to the drug plasma concentration and the CYP2D6 and APOE genetic polymorphisms.
Journal of Alzheimer's Disease, v. 55, p. 539-549, 2017.

4. CUNHA, M. A. G. M. ; LINO, P. ; VASCONCELOS, M. ; SANTOS, T. R. ; LUCAS, S. D. ; ABREU, M. H. . A 15-Year Time-series Study

of Tooth Extraction in Brazil. Medicine (Baltimore, Md.), v. 94, p. e1924, 2015.

5. SANTOS, T. R., Colosimo, E. A. A modified approximate method for analysis of degradation data.

Journal of Applied Statistics, v. 42, 1322-1331, 2015.

6. MIRANDA, L. F. J. R., GOMES, K. B., SILVEIRA, J. N., SANTOS, G. R., BYRRO, R. M. D., PELES, P. R. H., PEREIRA, F. H., 

SANTOS, T. R., ASSINI, A. G., RIBEIRO, V. V., TITO, P. A. L., MATOSO, R. O., LIMA, T. O. L., MORAES, E. N., CARAMELLI, P.

Predictive factors of clinical response to cholinesterase inhibitors in mild and moderate Alzheimer s disease and mixed dementia: a one-year naturalistic study. 

Journal of Alzheimer's Disease,45, 609-620, 2015.

7. SANTOS, T. R., Gamerman, D., FRANCO, G. C. A non-Gaussian family of state space models with exact marginal likelihood. 

Journal of Time Series Analysis (Print). , v.34, p.625 - 645, 2013. [pdf]

8. PINHO, F. M., SANTOS, T. R. Volatility of the European Stock Market Indices During the Global Financial Crisis - A New Proposal of Stochastic Volatility. 

Journal of Statistical and Econometric Methods. , v.2, p.107 - 126, 2013. [pdf]

9. SANTOS, T. R., Franco, G. C., Gamerman, D. Comparison of classical and Bayesian approaches for intervention analysis. 

International Statistical Review. , v.78, p.218 - 239, 2010. [pdf]

10. SANTOS, T. R., FRANCO, G. C. Inference for the hyperparameters of structural models under classical and Bayesian perspectives: a comparison study. 

Communications in Statistics. Simulation and Computation. , v.39, p.1671 - 1689, 2010. [pdf]

11. Freitas, M., SANTOS, T. R., Colosimo, E. A., Pires, M.C. Reliability assessment using degradation models: bayesian e classical approach. 

Pesquisa Operacional (Impresso). , v.30, p.195 - 219, 2010. [pdf]

12. Franco, G. C., SANTOS, T. R., Ribeiro, J. A., CRUZ, F. R. B. Confidence Intervals for the Hyperparameters in Structural Models. 

Communications in Statistics. Simulation and Computation. , v.37, p.486 - 497, 2008. [pdf]

13. DIAS, T. F., Lage, L. V., RIBEIRO, R. L., ASSIS, G. H. M., Rodrigues, J. G., SANTOS, T. R., Franco, G. C., Loschi, R. H., BRAGA, M. M.

Cursos diurnos e noturnos: fatores de aprovação no vestibular da UFMG. 

Cadernos de Pesquisa (Fundação Carlos Chagas. Impresso). , v.38, p.127 - 148, 2008.

 

Books

Franco, G. C., Gamerman, D., SANTOS, T. R. Modelos de Espaço de Estados: Abordagens Clássica e Bayesiana.

 São Paulo : ABE, 2009, v.1. p.119p. (in Portuguese)

[pdf]

Book chapters

Freitas, M., SANTOS, T. R., Pires, M.C., Colosimo, E. A. A closer look at degradation models: Classical and Bayesian approaches In: Advances in Degradation Modeling -

Applications to Reliability, Survival Analysis, and Finance.1 ed.New York : Birkhauser Boston, 2009, v.1, p. 157-180.

[acess]


Last updated: Jan. 04, 2017

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