High-dimensional conditionally Gaussian state space models with missing data
Year of publication: |
2023
|
---|---|
Authors: | Chan, Joshua ; Poon, Aubrey ; Zhu, Dan |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 236.2023, 1, p. 1-21
|
Subject: | Mixed-frequency | Unbalanced panel | Vector autoregression | Dynamic factor model | Stochastic volatility | Zustandsraummodell | State space model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Volatilität | Volatility | VAR-Modell | VAR model | Stochastischer Prozess | Stochastic process | Schätzung | Estimation | Panel | Panel study |
-
Large hybrid time-varying parameter VARs
Chan, Joshua, (2023)
-
Large hybrid time-varying parameter VARs
Chan, Joshua, (2019)
-
Nowcasting GDP with a pool of factor models and a fast estimation algorithm
Eraslan, Sercan, (2023)
- More ...
-
Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation
Chan, Joshua, (2020)
-
How Sensitive are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis
Chan, Joshua, (2018)
-
How Sensitive are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis
Chan, Joshua, (2018)
- More ...