Continuous Time Markov Chain (CTMC)
Continuous Time Markov Chain Models of Voltage Gating of Gap Junction Channels
... a continuous time Markov chain (CTMC) models of voltage gating of gap junction (GJ) channels formed of connexin ...of Markov chain model from description of the system using PLA ...
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Simulation algorithms for continuous time Markov chain models
... Continuous time Markov chains are often used in the literature to model the dy- namics of a system with low species count and uncertainty in ...late continuous time Markov ...
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Stochastic differential equation for two-phase growth model
... Faddy [4] proposed a simple two-phase population growth model to pure death process in stochastic model. Ross and Pollett [6] developed a two-phase population growth model using control regime, while Zheng [11] built a ...
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A Stochastic SIVS Epidemic Model Based on Birth and Death Process
... Although model (1) can well describe the development of the disease, in the spread and control of disease there still exist some uncertain factors such as temperature, environment of the hospital symptomtesting, etc. And ...
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Structure-based software reliability prediction*
... discrete time Markov chain (DTMC) or a continuous time Markov chain (CTMC), and illustrate these methods using ex- ...
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Mapping Activity Diagram to Petri Net: Application of Markov Theory for Analyzing Non-Functional Parameters
... embedded Continuous Time Markov Chain (CTMC) is derived from the GSPN and the Markov chain theory is used to obtain the performance ...
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Quantitative Modeling and Analytical Calculation of Elasticity in Cloud Computing
... a continuous-time Markov chain (CTMC) model to precisely calculate the elasticity value of a cloud platform by using an analytical and numerical method based on just a few parameters, namely, ...
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Model checking of continuous time Markov Chains against timed automata specifications
... finite continuous-time Markov chain ( CTMC ) C against a linear real-time specification given as a deterministic timed automaton ( DTA ) A with finite or Muller acceptance ...
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Stochastic Analysis of Static and Fatigue Failures with Fluctuating Manpower and Business
... a continuous time Markov chain approach, the backlog level probabilities of the occurred static failures, steady state fatigue failure and various other measures are obtained for Model (A) and ...
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An Analysis of Exchange Rate Regime Duration
... a continuous time variable, a continuous time Markov chain model is appropriate in analyzing the regime dynamics 2 ...state continuous time Markov ...
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PERFORMANCE EVALUATION AND OPTIMIZATION OF BLOCKING PROBABILITY IN PASSIVE OPTICAL BURST SWITCHING NETWORKBharti Tagra, Sukhvinder Kaur, Dr. Amit Wason
... a continuous- time Markov chain based on a generalized Engset model and focused specifically on critical load and other given levels of high utilization conditions and evaluated the required ...
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The simple harmonic urn
... resulting Markov chain is transient but that if we throw out a ball every time the colours swap, the process is ...natural continuous-time embedding of the urn process that demonstrates ...
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On a single server queue with fixed accumulation level, state dependent service, and semi Markov modulated input flow
... Queueing process, semi-Markov process, semi-regenerative process, embedded Markov chain, semi-Markov modulated Poisson process, equilibrium, continuous time parameter process, service cy[r] ...
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Path Dependent Stochastic Models and Their Applications in Finance and Communications
... with time delay, the analytical solutions are possible to find [49] ...to continuous time diffusions, where the controlled Markov Chain approximation has such ...with time delay, ...
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Variance Optimization for Continuous Time Markov Decision Processes
... The Postal Service Company’s catalogue information system, inventory issues, and supply chain management issues are all early successful applications of the Markov decision process. Later, many real-life ...
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The connected component of the partial duplication graph
... of Markov chains, for which we will follow Pollett (1988), which considers quasi-stationary distributions for continuous time Markov chains on countable state ...the chain conditional ...
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Piecewise deterministic Markov processes for continuous time Monte Carlo
... on continuous-time, rather than discrete-time, Markov ...Interestingly, continuous-time algorithms seem particularly well suited to Bayesian analysis in big-data settings as they ...
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Solving the inverse three-dimensional continuous model of electrical resistance tomography using the method of fundamental solutions and the Markov chain Monte Carlo approach.
... The solution of the inverse problem (1.23)-(1.25) or (1.26)-(1.28) is obtained using the MCMC, as described in [1, 4]. Due to the ill-posedness and non-linearity of the ERT inverse problem, we consider the Bayesian ...
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Assessment of growing seasons characteristics in the Dry zone of Sri Lanka based on stochastic simulation of rainfall and soil water status
... a suitable model which represents the weekly rainfall process in the Dry zone, both discrete and continuous Markov chain modelling of rainfall occurrence are.. con[r] ...
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Comparing Markov Chain Samplers for Molecular Simulation
... Keywords: Markov chain Monte Carlo; stochastic dynamics integrators; decorrelation time; integrated.. 15.[r] ...
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