VEC-MSF models in Bayesian analysis of short- and long-run relationships
Year of publication: |
Jun 2017
|
---|---|
Authors: | Pajor, Anna ; Wróblewska, Justyna |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 21.2017, 3, p. 1-22
|
Subject: | Bayesian analysis | cointegration | Markov Chain Monte Carlo methods | stochastic volatility | Markov-Kette | Markov chain | Theorie | Theory | Bayes-Statistik | Bayesian inference | Kointegration | Cointegration | Monte-Carlo-Simulation | Monte Carlo simulation | Volatilität | Volatility | Schätzung | Estimation | Zeitreihenanalyse | Time series analysis |
-
Chapter 15. Forecasting with Bayesian Vector Autoregression
Karlsson, Sune, (2013)
-
Scalable inference for a full multivariate stochastic volatility model
Dellaportas, Petros, (2023)
-
High-frequency realized stochastic volatility model
Watanabe, Toshiaki, (2024)
- More ...
-
Wróblewska, Justyna, (2019)
-
Pajor, Anna, (2022)
-
Dąbrowski, Marek A., (2019)
- More ...