discrete Markov chain model
A Markov Based Performance Analysis of Handover and Load Balancing in HetNets
... same Markov model from our previous work ...apply Discrete Time Ma- rokov Chain to model handover process so that all UEs’ association can be represented by Markov ...mobility ...
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Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.
... transtheoretical model (TTM) of change is used widely to model the five stages smokers go through until they quit (Andersen 2007, Prochaska et ...TTM model, the transi- tion among the stages usually ...
153
Multi-regime models involving Markov chains
... where Markov chains are used in the parameter estimation procedure as well as in the model ...multi-regime model can be applied to a single discrete time ...change-point model to the ...
147
A stochastic model of the provision of guided tours to tourists
... What we have just shown is that the relevant state probabilities of the discrete-time Markov chain that we are studying exhibit “geometric tail behavior.” Therefore, we do not have to work with an ...
15
A Discrete Time Markov Chain Model using Maximum likelihood for the Assessment of Inflation Rate in Pakistan
... in Markov chain model I graph is used, now according to the graph we can easily explain the probability of inflation rate moves from one state to another ...
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Generating Diagnoses for Probabilistic Model Checking Using Causality
... of model checking over other formal methods of verification is its ability to generate an error trace when the specification is falsified in the ...probabilistic model checking (PMC), counterexample ...
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DREAM(D): an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems
... for discrete parameter estimation ...generally discrete model calibration ...a discrete MCMC simulation algorithm that is especially designed to solve non-continuous and combinatorial ...
13
Further applications of higher-order Markov chains and developments in regime-switching models
... the model identi- fication and outlines how their method could be applied to the asset allocation problem using mean-variance type utility ...[2], Markov Chain Monte Carlo methods were applied to ...
235
Wright Fisher construction of the two parameter Poisson Dirichlet diffusion
... two-parameter model can be derived from a Wright–Fisher Markov chain ...one-parameter model, there are two limit operations ...Wright–Fisher model for a randomly mating population of ...
29
Designing An Efficient Real Time Summon Acuity System For Physically Drained Human
... efficiently model spatial-temporal information in a natural ...Hidden Markov Model consists of two stochastic ...a Markov chain that is characterized by states and transition ...the ...
7
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] ...
229
Structure-based software reliability prediction*
... reliability model- ing are black-box based, ...to model the overall failure process of such systems us- ing only one of the several software reliability growth ...a discrete time Markov ...
6
On Evaluating the Efficacy of Predictive Models for Cognitive Radio Spectrum Availability in Nigeria
... developed model in predicting the cognitive spectrum availabil- ity in ...using discrete-time two-state Markov chain with an appropriate Duty Cycle (DC) model and also a modified m-bell ...
17
Discrete-Time Stochastic Volatility Models and MCMC-Based Statistical Inference
... A main difficulty of the SV framework compared to the widely used (Generalized) ARCH model is that the likelihood of SV models is not directly available. This requires the use of simulation techniques, like ...
29
MARKOV MODEL WITH ABSORBING STATE FOR RELIABLE PACKET DELIVERY IN WIRELESS SENSOR NETWORKS
... This paper presents a model for reliable packet delivery in Wireless Sensor Networks based on Discrete Parameter Markov Chain with absorbing state. We have demonstrated the comparison between ...
5
Markov and Neural Network Models for Prediction of Structural Deterioration of Stormwater Pipe Assets
... the Markov model in stormwater pipe deterioration ...network model (NNM) developed by Tran et ...the Markov model in Micevski et ...Bayesian Markov chain Monte Carlo ...
15
A Markov Model for Dynamic Behavior of ToA-Based Ranging in Indoor Localization
... of Markov chain. The model relegates the behavior of ranging error into four main categories associated with four states of the Markov ...each Markov state are extracted from empirical ...
14
Fast Automatic Segmentation of the Esophagus from 3D CT data using a Probabilistic Model
... tissue, there is only little contrast if it is empty. Sometimes it is filled with air bubbles, remains of oral contrast agent or both. Up to now, there are few publi- cations on esophagus segmentation, and all of them ...
8
A systematic literature review of operational research methods for modelling patient flow and outcomes within community healthcare and other settings
... a model of flow, the relevant system is viewed as comprising a set of distinct compartments or states, through which continuous matter or discrete entities ...flow model can represent any amalgam of ...
21
Urban Growth Prediction of Special Economic Development Zone in Mae Sot District, Thailand
... This study focuses on identifying land use change in the Tak SEZ in Mae Sot district, where phase 1 of the SEZ project was documented with the high-resolution image in 2006, 2011 and 2016. This study will show the ...
9