Results 271 to 280 of about 112,777 (296)
Some of the next articles are maybe not open access.
2019
This paper extends the Bayesian proxy SVAR model (BP-SVAR) of Caldara and Herbst (2019) to examine changes in the transmission of structural shocks in the presence of regime shifts in an economy. I provide a Metropolis-within-Gibbs sampling algorithm to approximate the posterior distribution of model parameters.
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This paper extends the Bayesian proxy SVAR model (BP-SVAR) of Caldara and Herbst (2019) to examine changes in the transmission of structural shocks in the presence of regime shifts in an economy. I provide a Metropolis-within-Gibbs sampling algorithm to approximate the posterior distribution of model parameters.
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Trend in Markov Switching VAR Models
We consider deterministic time trends in Markov Switching Vector Autoregressive processes, and propose estimation of the parameters by using a modified Expectation-Maximization (EM) algorithm. Then we derive consistency and the asymptotic distribution of the obtained estimators.openaire +2 more sources
Markov Switching Time Series Models
2012Abstract We give a review of time series with regime-switching, which look stationary over limited time intervals, but where the data-generating mechanism may suddenly change sometimes. After briefly discussing observation driven switching, we focus on Markov switching where changes are controlled by a hidden Markov chain.
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Markov switching model (in Russian) [PDF]
We discuss the Markov switching model, one of most popular nonlinear time series models. This model involves switching between multiple structures that characterize different time series behaviors in different regimes, the switching mechanism being controlled by an unobservable variable that follows a Markov chain process.
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Almost Sure Stability of Markov Jump Systems With Persistent Dwell Time Switching
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Siyi Li, Jie Lian
exaly

