Time-varying vector autoregressive models with stochastic volatility
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Publication:5124768
DOI10.1080/02664760903406512OpenAlexW2092913121MaRDI QIDQ5124768
Publication date: 30 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760903406512
stochastic volatilitystate-space modelsmultivariate time seriesBayesian forecastingportfolio allocation
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Cites Work
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- Bayesian forecasting and dynamic models.
- On recursive estimation for time varying autoregressive processes
- Bayesian portfolio selection with multi-variate random variance models
- Wavelet based time-varying vector autoregressive modelling
- A time varying coefficient vector AR modeling of nonstationary covariance time series
- Local scale models. State space alternative to integraded GARCH processes
- On singular Wishart and singular multivariate beta distributions
- Proof of the conjectures of H. Uhlig on the singular multivariate beta and the Jacobian of a certain matrix transformation
- Noninformative priors and frequentist risks of Bayesian estimators of vector-autoregressive models
- Smoothness priors analysis of time series
- Sequential monitoring of minimum variance portfolio
- Structured priors for multivariate time series
- A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series
- Bayesian Vector Autoregressions with Stochastic Volatility
- Order Estimation and Discrimination Between Stationary and Time-Varying (TVAR) Autoregressive Models
- Time‐varying autoregressions with model order uncertainty
- ELICITING A DIRECTED ACYCLIC GRAPH FOR A MULTIVARIATE TIME SERIES OF VEHICLE COUNTS IN A TRAFFIC NETWORK
- Time Varying Structural Vector Autoregressions and Monetary Policy
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