Results 221 to 230 of about 14,044 (266)
Zonotope-Based State Estimation for Boost Converter System with Markov Jump Process. [PDF]
Guan C, Li Y, Wang Z, Chen W.
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Moving-Target Tracking in Airport Airside Operations Using AIMM-STUKF. [PDF]
Gao J, Dang Y, Zhu Y, Xue W.
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Early warning of regime switching in a financial time series: A heteroskedastic network model. [PDF]
Wang L, An S, Dong Z, Dong X, Li J.
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Time trends and persistence of the return difference between growth and value investment strategies. [PDF]
Monge M, Hurtado R, Infante J.
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Dynamic Functional Connectivity, Major Depression, and Suicidal Ideation in Children. [PDF]
Wanger TJ +11 more
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An Entropy-Based Framework for Hybrid Coalitions in Game Theory-Part I: Human Arbitration. [PDF]
Sepúlveda-Fontaine SA, Amigó JM.
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Beveridge-Nelson decomposition with Markov switching [PDF]
This paper considers Beveridge-Nelson decomposition in a context where the permanent and transitory components both follow a Markov switching process. Our approach incorporates Markov switching into a single source of error state-space framework, allowing business cycle asymmetries and regime switches in the long-run multiplier.
Chin Nam Low +2 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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2023
Abstract The authors propose novel tests for the detection of Markov switching deviations from forecast rationality. Existing forecast rationality tests either focus on constant deviations from forecast rationality over the full sample or are constructed to detect smooth deviations based on non-parametric techniques.
Florens Odendahl +2 more
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Abstract The authors propose novel tests for the detection of Markov switching deviations from forecast rationality. Existing forecast rationality tests either focus on constant deviations from forecast rationality over the full sample or are constructed to detect smooth deviations based on non-parametric techniques.
Florens Odendahl +2 more
openaire +1 more source

