Currently browsing: Items authored or edited by Álvaro Faria

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Corrêa, J. M.; Neto, A. C.; Teixeira Júnior, L. A.; Franco, E. M. C. and Faria Jr, A. E. (2016). Time series forecasting with the WARIMAX-GARCH method. Neurocomputing, 216 pp. 805–815.

Correa, Jairo Marlon; Neto, Anselmo Chaves; Teixeira Junior, Luiz Albino; Carreno, Edgar Manuel and Faria, Álvaro Eduardo (2016). Linear combination of forecasts with numerical adjustment via MINIMAX non-linear programming. Revista GEPROS - Gestão da Produção, Operações e Sistemas, 11(1) pp. 79–95.

Capiluppi, A.; Faria, A.E. and Ramil, J.F. (2005). Exploring the relationship between cumulative change and complexity in an Open Source System. In: Proceedings of the Ninth European Conference on Software Maintenance and Re-engineering, CSMR 2005, 21-23 Mar 2005, Manchester, UK.

Capiluppi, Andrea; Faria, Alvaro and Ramil, J. F. (2005). Exploring the relationship between cumulative change and complexity in an open source system evolution. In: Proceedings of the 9th European Conference on Software Maintenance and Re-engineering, 2005.

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Faria, Álvaro E. and Santos, Alexandre J. (2019). Dynamic Bayesian smooth transition autoregressive models applied to hourly electricity load in Brazil. In: Valenzuela, Olga; Rojas, Fernando; Pomares, Hector and Rojas, Ignacio eds. Theory and Applications of Time Series Analysis. Contributions to Statistics. Springer.

Faria, Álvaro E. and Santos, Alexandre J. (2018). Dynamic Bayesian smooth transition autoregressive models applied to hourly electricity load in southern Brazil. In: ITISE 2018 - International Conference on Time Series and Forecasting, 19-21 Sep 2018, Granada, Spain, pp. 966–981.

Faria, Alvaro and Mubwandarikwa, Emmanuel (2008). Multimodality on the geometric combination of Bayesian forecasting models. International Journal of Statistics and Management Systems, 3(1-2) pp. 1–25.

Faria, Álvaro E. and Smith, Jim Q. (1996). Conditional external Bayesianity in decomposable influence diagrams. In: Bernardo, J. M.; Berger, J. O.; Dawid, A. P. and Smith, A. F. M. eds. Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994. Oxford: Clarendon Press, pp. 551–560.

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Hickmann, Tásia; Teixeira Júnior, Luis Albino; Faria, Álvaro; Rodrigues, Samuel B.; Côrrea, Jairo M. and Garcia, Everton L. (2018). Temperature field forecast in concrete dam with the use of Arima Models and the Finite Element Method. In: Andrade, Darly Fernando ed. Métodos Quantitativos – Pesquisa Operacional, Volume 3. Belo Horizonte: Editora Poisson, pp. 112–123.

Hickman, Tásia; Teixeira Jr., Luiz Albino; Faria, Alvaro; Rodrigues, Samuel Bellido; Côrrea, Jairo Marlon; Garcia, Everton Luís and Aracayo, Luis Antonio Sucapuca (2016). Temperature field forecast in concrete dam with the use of ARIMA models and the finite element method. In: Anais do XLVIII - Simpósio Brasileiro de Pesquisa Operacional, 27-30 Sep 2016, Vitoria, Brazil.

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Smith, J. Q. and Faria, Alvaro (2000). Bayesian Poisson models for the graphical combination of dependent expert information. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 62(3) pp. 525–544.

Smith, Jim Q.; Faria, Á. E.; French, S.; Raniard, D.; Vlesshouwer, D.; Bohunova, J.; Duranova, T.; Stubna, M.; Dutton, L.; Rojas, C. and Sohier, A. (1997). Probabilistic data assimilation within RODOS. Radiation Protection Dosimetry, 73(1) pp. 57–59.

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Teixeira Júnior, Luiz Albino; Faria Júnior, Álvaro Eduardo; Pereira, Ricardo Vela de Britto; Souza, Reinaldo Castro and Franco, Edgar Manuel Carreño (2016). COMBINAÇÃO LINEAR WAVELET SARIMA-RNA COM ESTÁGIOS MULTIPLOS NA PREVISÃO DE SÉRIES TEMPORAIS. In: Blucher Marine Engineering Proceedings, Blucher, São Paulo, 2(1) pp. 295–307.

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