Bayesian inference of smooth transition autoregressive (STAR)\((k)\)-GARCH\((l, m)\) models
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Publication:2029214
DOI10.1007/s00362-018-1056-3zbMath1461.62156OpenAlexW2899915804WikidataQ128993427 ScholiaQ128993427MaRDI QIDQ2029214
Darfiana Nur, Glen jun. Livingston
Publication date: 3 June 2021
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-018-1056-3
Metropolis-Hastings algorithmnonlinear time series modelsreversible jump MCMC algorithmGibbs sampler algorithmgeneralised ARCH (GARCH)regime switching volatility
Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Numerical analysis or methods applied to Markov chains (65C40)
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Estimating m-regimes STAR-GARCH model using QMLE with parameter transformation
- Threshold models in non-linear time series analysis
- A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models
- Threshold models in time series analysis -- some reflections
- On estimation in conditional heteroskedastic time series models under non-normal distribu\-tions
- Bayesian estimation of smooth transition GARCH model using Gibbs sampling
- Generalized autoregressive conditional heteroscedasticity
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- Bayesian Model Uncertainty In Smooth Transition Autoregressions
- ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS
- Testing linearity against smooth transition autoregressive models
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- The Multiple-Try Method and Local Optimization in Metropolis Sampling
- Bayesian inference for smooth transition autoregressive (STAR) model: A prior sensitivity analysis
- Bayesian selection of threshold autoregressive models
- Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes
- SMOOTH TRANSITION AUTOREGRESSIVE MODELS — A SURVEY OF RECENT DEVELOPMENTS
- Quadratic ARCH Models
- Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
- Using the Reversible Jump MCMC Procedure for Identifying and Estimating Univariate TAR Models
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo sampling methods using Markov chains and their applications