Results 21 to 30 of about 498,137 (306)
Applicationes Mathematicae, 1985 In a queueing network a point where a single stream of arrivals is split up into several output streams is called a switch. The behavior of a switch can be described by a stochastic process \((J_ n,Y_ n,X_ n)_{n\geq 0}\), where \(J_ n\) describes the type of the n-th customer, \(Y_ n\) the output stream he is directed to and \(X_ n\) the interarrival ...
Disney, R. L., McNickle, D. C.
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SAGE Open, 2022 This study involved a systematic literature review using bibliometric analysis to examine the evolution and current trends of Markov switching studies. The bibliometric analysis was used for the descriptive, intellectual, social, and conceptual network ...
Seuk Wai Phoong +2 more
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Nonlinear Modeling of Mortality Data and Its Implications for Longevity Bond Pricing
Risks, 2023 Human mortality has been improving faster than expected over the past few decades. This unprecedented improvement has caused significant financial stress to pension plan sponsors and annuity providers. The widely recognized Lee–Carter model often assumes
Huijing Li, Rui Zhou, Min Ji
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Investigating the Effect of Macroeconomic Variables on Business Cycles in Iran, Markov-Switching Model Approach [PDF]
مدلسازی اقتصادسنجی, 2020 One of the key issues that economists face when analyzing the evolution of economic activity is the attempt to explain business cycles. The behavior of macro variables during the business cycles and the effect of monetary and fiscal policy on their ...
Mohammad Ali Asaadi +2 more
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Event-Based Consensus Tracking for Nonlinear Multi-Agent Systems Under Semi-Markov Jump Topology
IEEE Access, 2021 This paper studies the event-triggering leader-follower consensus with the strictly dissipative performance for nonlinear multi-agent systems (MASs) with semi-Markov changing topologies.
Jiafeng Yu +4 more
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Efficient estimation of Markov-switching model with application in stock price classification [PDF]
Mathematics and Modeling in Finance, 2021 In this paper, we discuss the calibration of the geometric Brownian motion model equipped with Markov-switching factor. Since the motivation for this research comes from a recent stream of literature in stock economics, we propose an efficient estimation
Farshid Mehrdoust +2 more
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Markov-Switching Quantile Autoregression [PDF]
SSRN Electronic Journal, 2014 This paper considers the location‐scale quantile autoregression in which the location and scale parameters are subject to regime shifts. The regime changes in lower and upper tails are determined by the outcome of a latent, discrete‐state Markov process.
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Markov-switching generalized additive models [PDF]
Statistics and Computing, 2015 We consider Markov-switching regression models, i.e. models for time series regression analyses where the functional relationship between covariates and response is subject to regime switching controlled by an unobservable Markov chain. Building on the powerful hidden Markov model machinery and the methods for penalized B-splines routinely used in ...
Roland Langrock +3 more
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A Markov-Switching Model of Inflation in Bolivia [PDF]
Economies, 2021 The Bolivian inflation process is analyzed utilizing a time-varying univariate and multivariate Markov-switching model (TMS). With monthly data and, beginning in the late 1930s, inflation is accurately described by a univariate TMS. The intercept for the high-inflation regime is significantly higher than for the low-inflation regime and the actual ...
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Stability of reaction–diffusion systems with stochastic switching
Nonlinear Analysis, 2019 In this paper, we investigate the stability for reaction systems with stochastic switching. Two types of switched models are considered: (i) Markov switching and (ii) independent and identically distributed switching.
Lijun Pan, Jinde Cao, Ahmed Alsaedi
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