Results 31 to 40 of about 112,046 (197)
IEEE Access, 2019 This paper investigates the H∞ consensus of linear multi-agent systems with semi-Markov switching network topologies and measurement noises. The information that each agent measures its neighbors's has multiplicative noises.
Meiyan Cong, Xiaowu Mu
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Self-Switching Markov Chains: Emerging dominance phenomena [PDF]
Stochastic Processes and their Applications, 2022 In many dynamical systems in nature, the law of the dynamics changes along with the temporal evolution of the system. These changes are often associated with the occurrence of certain events. The timing of occurrence of these events depends, in turn, on the trajectory of the dynamical system itself, making the dynamics of the system and the timing of a
S. Gallo +3 more
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Mathematics, 2022 This study applies a Markov switching error correction model to describe the single most important real exchange rate (Deutsche mark versus US dollar) over the flexible exchange rates period from 1973 to 2004.
Michael Frömmel +2 more
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Frontiers in Energy Research, 2021 The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical operation of the power system.
Hang Fan +3 more
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Assessing Brazilian macroeconomic dynamics using a Markov-switching DSGE model
EconomiA, 2016 The goal of this paper is to evaluate the behavior of the main parameters of the Brazilian economy through the estimation of an open-economy dynamic stochastic general equilibrium (DSGE) model using Bayesian methods and allowing for Markov switching of ...
Caio César Soares Gonçalves +2 more
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Markov-Switching GARCH Models in R: The MSGARCH Package
Journal of Statistical Software, 2019 We describe the package MSGARCH, which implements Markov-switching GARCH (generalized autoregressive conditional heteroscedasticity) models in R with efficient C++ object-oriented programming.
David Ardia +4 more
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Markov Switching in Disaggregate Unemployment Rates [PDF]
SSRN Electronic Journal, 2001 We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in the U.S. unemployment rates. We extract the common dynamics amongst unemployment rates disaggregated for 7 age groups. The framework allows analysis of the contribution of demographic factors to secular changes in unemployment rates.
Marcelle Chauvet +2 more
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Adding flexibility to Markov Switching models [PDF]
Statistical Modelling, 2016 Abstract: Very often time series are subject to abrupt changes in the level, which are generally represented by Markov Switching (MS) models, assuming that the level is constant within a certain state (regime). This is not a realistic framework because in the same regime the level could change with minor jumps with respect to a change of state; this ...
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Exchange Rates and Markov Switching Dynamics [PDF]
SSRN Electronic Journal, 2004 This article presents a systematic and extensive empirical study on the presence of Markov switching dynamics in three dollar-based exchange rates. A Monte Carlo approach is adopted to circumvent the statistical inference problem inherent to the test of regime-switching behavior.
Yin-wong Cheung, Ulf G. Erlandsson
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Option Pricing with Markov Switching [PDF]
Journal of Data Science, 2021 In this article, we consider a model of time-varying volatility which generalizes the classical Black-Scholes model to include regime-switching properties. Specically, the unobservable state variables for stock uctu- ations are modeled by a Markov process, and the drift and volatility pa- rameters take dierent values depending on the state of this ...
Fuh, Cheng-Der +3 more
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