High-Dimensional Macroeconomic Forecasting Using Message Passing Algorithms
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Publication:6617773
DOI10.1080/07350015.2019.1677472zbMath1547.62801MaRDI QIDQ6617773
Publication date: 11 October 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
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- Bayesian Multivariate Time Series Methods for Empirical Macroeconomics
- Dynamic variable selection with spike-and-slab process priors
- Time-varying sparsity in dynamic regression models
- Stochastic model specification search for Gaussian and partial non-Gaussian state space models
- Fixed Points of Generalized Approximate Message Passing With Arbitrary Matrices
- Patterns of Scalable Bayesian Inference
- Bayesian Estimation of DSGE Models
- Sufficient Conditions for Convergence of the Sum–Product Algorithm
- Estimation in the Presence of Stochastic Parameter Variation
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- 10.1162/15324430152748236
- Factor graphs and the sum-product algorithm
- FORECASTING INFLATION USING DYNAMIC MODEL AVERAGING*
- A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm
- Hierarchical Shrinkage in Time‐Varying Parameter Models
- Dynamic Shrinkage Processes
- Bayesian Reasoning and Machine Learning
- Time Varying Structural Vector Autoregressions and Monetary Policy
- Estimation and Forecasting in Models with Multiple Breaks
- Forecasting Macroeconomic Variables Under Model Instability
Related Items (4)
Bayesian variable selection for matrix autoregressive models ⋮ Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models ⋮ Dynamic shrinkage priors for large time-varying parameter regressions using scalable Markov chain Monte Carlo methods ⋮ Matrix autoregressive models: generalization and Bayesian estimation
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