Machine learning advances for time series forecasting von Masini, Ricardo P., Medeiros, Marcelo C., Mendes, Eduardo F.

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Testing for symmetry and conditional symmetry using asymmetric kernels von Fernandes, Marcelo, Mendes, Eduardo F., Scaillet, Olivier

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Regularized estimation of high‐dimensional vector autoregressions with weakly dependent innovations von Masini, Ricardo P., Medeiros, Marcelo C., Mendes, Eduardo F.

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A flexible particle Markov chain Monte Carlo method von Mendes, Eduardo F., Carter, Christopher K., Gunawan, David, Kohn, Robert

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Adaptive LASSO estimation for ARDL models with GARCH innovations von Medeiros, Marcelo C., Mendes, Eduardo F.

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On Convergence Rates of Mixtures of Polynomial Experts von Mendes, Eduardo F., Jiang, Wenxin

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ℓ1-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors von Medeiros, Marcelo C., Mendes, Eduardo F.

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ℓ 1 -regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors von Medeiros, Marcelo C., Mendes, Eduardo F.

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Lambdasub 1-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors von Medeiros, Marcelo C, Mendes, Eduardo F

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[Lambda]^sub 1^-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors von Medeiros, Marcelo C, Mendes, Eduardo F

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A Note on Nonlinear Cointegration, Misspecification, and Bimodality von Medeiros, Marcelo C., Mendes, Eduardo, Oxley, Les

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Generalized Information Criteria for Structured Sparse Models von Mendes, Eduardo F, Pinto, Gabriel J. P

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Generalized Information Criteria for Structured Sparse Models von Mendes, Eduardo F, Pinto, Gabriel J P

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Machine Learning Advances for Time Series Forecasting von Masini, Ricardo P, Medeiros, Marcelo C, Mendes, Eduardo F

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Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations von Masini, Ricardo P, Medeiros, Marcelo C, Mendes, Eduardo F

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Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations von Masini, Ricardo P, Medeiros, Marcelo C, Mendes, Eduardo F

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Machine Learning Advances for Time Series Forecasting von Masini, Ricardo P, Medeiros, Marcelo C, Mendes, Eduardo F

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Markov Interacting Importance Samplers von Mendes, Eduardo F, Scharth, Marcel, Kohn, Robert

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Model Selection Consistency for Cointegrating Regressions von Mendes, Eduardo F

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A flexible Particle Markov chain Monte Carlo method von Mendes, Eduardo F, Carter, Christopher K, Gunawan, David, Kohn, Robert

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