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May 6, 2024
Published Online: 2024-05-06
©2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Editorial Introduction of the Special Issue of Studies in Nonlinear Dynamics and Econometrics in Honor of Herman van Dijk
- Review
- Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View
- Research Articles
- Markov-Switching Models with Unknown Error Distributions: Identification and Inference Within the Bayesian Framework
- Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods
- Matrix autoregressive models: generalization and Bayesian estimation
- Sequential Monte Carlo with model tempering
- Modeling Corporate CDS Spreads Using Markov Switching Regressions
- Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis
- Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics
- Bayesian Reconciliation of Return Predictability
- A Dynamic Latent-Space Model for Asset Clustering
- Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference
- Bayesian Flexible Local Projections
Articles in the same Issue
- Frontmatter
- Editorial
- Editorial Introduction of the Special Issue of Studies in Nonlinear Dynamics and Econometrics in Honor of Herman van Dijk
- Review
- Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View
- Research Articles
- Markov-Switching Models with Unknown Error Distributions: Identification and Inference Within the Bayesian Framework
- Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods
- Matrix autoregressive models: generalization and Bayesian estimation
- Sequential Monte Carlo with model tempering
- Modeling Corporate CDS Spreads Using Markov Switching Regressions
- Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis
- Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics
- Bayesian Reconciliation of Return Predictability
- A Dynamic Latent-Space Model for Asset Clustering
- Posterior Manifolds over Prior Parameter Regions: Beyond Pointwise Sensitivity Assessments for Posterior Statistics from MCMC Inference
- Bayesian Flexible Local Projections