Alvaro Veiga
Alvaro Veiga
Professor Associado, Departamento de Engenharia Elétrica, PUC-Rio
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Cited by
Cited by
Changes in the sedimentary organic carbon pool of a fertilized tropical estuary, Guanabara Bay, Brazil: an elemental, isotopic and molecular marker approach
RS Carreira, ALR Wagener, JW Readman, TW Fileman, SA Macko, ...
Marine Chemistry 79 (3-4), 207-227, 2002
Forecasting inflation in a data-rich environment: the benefits of machine learning methods
MC Medeiros, GFR Vasconcelos, Á Veiga, E Zilberman
Journal of Business & Economic Statistics 39 (1), 98-119, 2021
A hybrid linear-neural model for time series forecasting
MC Medeiros, Á Veiga
IEEE Transactions on Neural Networks 11 (6), 1402-1412, 2000
A flexible coefficient smooth transition time series model
MC Medeiros, Á Veiga
IEEE transactions on neural networks 16 (1), 97-113, 2005
Modeling multiple regimes in financial volatility with a flexible coefficient GARCH (1, 1) model
MC Medeiros, A Veiga
Econometric Theory 25 (1), 117-161, 2009
Modeling exchange rates: smooth transitions, neural networks, and linear models
MC Medeiros, Á Veiga, CE Pedreira
IEEE Transactions on Neural Networks 12 (4), 755-764, 2001
Second generation of “Miranda procedure” for C P violation in Dalitz studies of B (and D and τ) decays
I Bediaga, J Miranda, AC dos Reis, II Bigi, A Gomes, JMO Goicochea, ...
Physical Review D 86 (3), 036005, 2012
Diagnostic checking in a flexible nonlinear time series model
MC Medeiros, A Veiga
Journal of Time Series Analysis 24 (4), 461-482, 2003
Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics
C Epprecht, D Guegan, Á Veiga, J Correa da Rosa
Communications in Statistics-Simulation and Computation 50 (1), 103-122, 2021
Design of radial basis function network as classifier in face recognition using eigenfaces
CE Thomaz, RQ Feitosa, Á Veiga
Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No. 98EX209 …, 1998
Shewhart control charts for dispersion adjusted for parameter estimation
R Goedhart, MM da Silva, M Schoonhoven, EK Epprecht, S Chakraborti, ...
IISE Transactions 49 (8), 838-848, 2017
Validation of Ucides cordatus as a bioindicator of oil contamination and bioavailability in mangroves by evaluating sediment and crab PAH records
AH Nudi, ALR Wagener, E Francioni, A de Lemos Scofield, CB Sette, ...
Environment International 33 (3), 315-327, 2007
Tree-structured smooth transition regression models
JC Da Rosa, A Veiga, MC Medeiros
Computational Statistics & Data Analysis 52 (5), 2469-2488, 2008
Fostering wind power penetration into the Brazilian forward-contract market
A Street, DA Lima, Á Veiga, B Fânzeres, L Freire, B Amaral
2012 IEEE Power and Energy Society General Meeting, 1-8, 2012
A combinatorial approach to piecewise linear time series analysis
MC Medeiros, A Veiga, MGC Resende
Journal of Computational and graphical Statistics 11 (1), 236-258, 2002
Otimização de entropia: implementação computacional dos princípios Maxent e Minxent
RS Mattos, Á Veiga
Pesquisa Operacional 22, 37-59, 2002
PAR(p)-vine copula based model for stochastic streamflow scenario generation
G Pereira, A Veiga
Stochastic environmental research and risk assessment 32, 833-842, 2018
Asset liability management for open pension schemes using multistage stochastic programming under Solvency-II-based regulatory constraints
TB Duarte, DM Valladão, Á Veiga
Insurance: Mathematics and Economics 77, 177-188, 2017
Risk constrained contracting strategies of renewable portfolios
F Ralston, S Granville, M Pereira, LA Barroso, A Veiga
2010 7th International Conference on the European Energy Market, 1-7, 2010
A flexible coefficient smooth transition time series model
MC Medeiros, A Veiga
Stockholm School of Economics, Working Paper Series in Economics and Finance 360, 2000
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