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Dynamic community detection using class preserving time series generation with Fourier Markov diffusion. [PDF]
Ma Y, Qu D, Wang Y.
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Unveiling state-specific neural dynamics in migraine with and without depressive symptom: a hidden Markov model and interpretable machine learning approach. [PDF]
Zhang Z +11 more
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Safe Cooperative Decision-Making for Multi-UAV Pursuit-Evasion Games via Opponent Intent Inference. [PDF]
Li W, Feng Y, Zhang W.
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Computational Approaches Reveal Developmental Shifts in Exploratory Play. [PDF]
Colantonio J +7 more
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Moments of Markov switching models [PDF]
Let \(\{\varepsilon_t\}\) be i.i.d. \(N(0,1)\) random variables and \(S_t\) an unobserved stationary ergodic \(k\)-state Markov homogeneous process. The author deals with three types of Markov switching models, namely (MS I) \(y_t=\mu_{S_t} +\sigma_{S_t}\varepsilon_t\), (MS II) \(y_t=\mu_{S_t} +\varphi_1(y_{t-1}-\mu_{S_{t-1}})+\sigma_{S_t}\varepsilon_t\
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Markov-switching mixed-frequency VAR models
International Journal of Forecasting, 2015Abstract This paper introduces regime switching parameters to the Mixed-Frequency VAR model. We begin by discussing estimation and inference for Markov-switching Mixed-Frequency VAR (MSMF-VAR) models. Next, we assess the finite sample performance of the technique in Monte-Carlo experiments.
Foroni, Claudia +2 more
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INTEGRATED MARKOV-SWITCHING GARCH PROCESS
Econometric Theory, 2009This paper investigates stationarity of the so-called integrated Markov-switching generalized autoregressive conditionally heteroskedastic (GARCH) process, which is an important subclass of the Markov-switching GARCH process introduced by Francq, Roussignol, and Zakoïan (2001,Journal of Time Series Analysis22,197–220) and a Markov-switching version of ...
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Optimal Test for Markov Switching Parameters
Econometrica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carrasco, Marine +2 more
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Markov switching and exchange rate predictability
International Journal of Forecasting, 2011Abstract We first show that the recent success of modern macroeconomic models in forecasting nominal exchange rates, evaluated using the Clark and West (2006) inference procedure, is partly due to the presence of the constant term (drift), in addition to the economic fundamentals.
Alex Nikolsko-Rzhevskyy, Ruxandra Prodan
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