Markov switching quantile regression models with time-varying transition probabilities
DOI10.1007/s42952-022-00162-8zbMath1496.62075OpenAlexW4213184957MaRDI QIDQ2089025
Publication date: 6 October 2022
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42952-022-00162-8
EM algorithmquantile regressionMarkov switchingasymmetric Laplace distributiontime-varying transition probabilities
Asymptotic properties of parametric estimators (62F12) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Point estimation (62F10)
Cites Work
- Unnamed Item
- Markov regime-switching quantile regression models and financial contagion detection
- Testing for structural change in regression quantiles
- Estimating structural changes in regression quantiles
- Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
- Testing for parameter stability in quantile regression models
- A Markov model for switching regressions
- Business cycle durations
- Dynamic linear models with Markov-switching
- An EM type algorithm for maximum likelihood estimation of the normal-inverse Gaussian distribution
- The expectation-maximization approach for Bayesian quantile regression
- A principal varying-coefficient model for quantile regression: joint variable selection and dimension reduction
- High-dimensional quantile varying-coefficient models with dimension reduction
- Finite mixture and Markov switching models.
- Markov-switching quantile autoregression: a Gibbs sampling approach
- Consistency of the maximum likelihood estimate for non-homogeneous Markov–switching models
- Quantile Regression via the EM Algorithm
- Linear Quantile Regression Based on EM Algorithm
- Regression Quantiles
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Goodness of Fit and Related Inference Processes for Quantile Regression
- Regression Analysis when the Dependent Variable Is Truncated Normal
- Likelihood-based quantile autoregressive distributed lag models and its applications
- Sparseness, consistency and model selection for Markov regime-switching Gaussian autoregressive models
- Gibbs sampling methods for Bayesian quantile regression
- Time‐Varying Transition Probabilities for Markov Regime Switching Models
- A Three-Parameter Asymmetric Laplace Distribution and Its Extension
- Intermediate Probability
- Quantile Autoregression
- Bayesian quantile regression
- Markov switching quantile autoregression
This page was built for publication: Markov switching quantile regression models with time-varying transition probabilities