Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Year of publication: |
2023
|
---|---|
Authors: | Gefang, Deborah ; Koop, Gary ; Poon, Aubrey |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 1, p. 346-363
|
Subject: | Forecasting | Hierarchical prior | Stochastic volatility | Variational inference | Vector autoregression | VAR-Modell | VAR model | Bayes-Statistik | Bayesian inference | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Volatilität | Volatility | Induktive Statistik | Statistical inference | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation | ARCH-Modell | ARCH model |
-
Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah, (2019)
-
Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah, (2019)
-
Computationally efficient inference in large Bayesian mixed frequency VARs
Gefang, Deborah, (2020)
- More ...
-
Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage
Gefang, Deborah, (2019)
-
Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah, (2019)
-
Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah, (2019)
- More ...