Bayesian variance changepoint detection in linear models with symmetric heavy-tailed errors
| Year of publication: |
2018
|
|---|---|
| Authors: | Kang, Shuaimin ; Liu, Guangying ; Qi, Howard ; Wang, Min |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer, ISSN 0927-7099, ZDB-ID 1142021-2. - Vol. 52.2018, 2, p. 459-477
|
| Subject: | Bayesian inference | Gibbs sampler | Heavy-tailed distributions | The Metropolis-Hastings algorithm | Variance changepoints | Bayes-Statistik | Statistische Verteilung | Statistical distribution | Varianzanalyse | Analysis of variance | Schätztheorie | Estimation theory | Markov-Kette | Markov chain | Statistische Methodenlehre | Statistical theory |
-
Robust Bayesian analysis of loss reserves data using the generalized-t distribution
Chan, Jennifer S. K., (2007)
-
Wang, Chao, (2019)
-
Modeling and forecasting of realized covariance matrices of asset returns using state-space models
Hartkopf, Jan Patrick, (2021)
- More ...
-
Forecasting the high-frequency volatility based on the LSTM-HIT model
Liu, Guangying, (2024)
-
On estimation of hurst parameter under noisy observations
Liu, Guangying, (2018)
-
Volatility of volatility : estimation and tests based on noisy high frequency data with jumps
Li, Yingying, (2022)
- More ...