LONG-RANGE DEPENDENT COMMON FACTOR MODELS: A BAYESIAN APPROACH
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Publication:4540642
DOI10.1081/STA-100104349zbMath0993.62074OpenAlexW2073517251MaRDI QIDQ4540642
Nan-Jung Hsu, F. Jay Breidt, Bonnie K. Ray
Publication date: 28 July 2002
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/sta-100104349
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Bayesian inference (62F15)
Cites Work
- Unnamed Item
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- The detection and estimation of long memory in stochastic volatility
- State space modeling of long-memory processes
- Bayesian estimation of an autoregressive model using Markov chain Monte Carlo
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Fractional differencing
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Multivariate Stochastic Variance Models
- Long memory stochastic volatility : A bayesian approach
- Monte Carlo sampling methods using Markov chains and their applications