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We have used Erlang renewal processes to model both the crossover process and the chiasma process with NCI.
In this work we use spatial marked point processes to model the fire size of the forest fires observed in Castellón, Spain, during the years 2001 2006.
Cossette et al. [1] used two integer-valued time series, namely the Poisson moving average (MA) and Poisson autoregressive (AR) processes, to model the claim frequency in the risk model.
The uncertainties related to the problem are also considered by using random variables to represent the model's parameters and the materials' properties, and stochastic processes to model environmental actions.
In this paper, we investigate a family of generalized autoregressive conditional heteroscedastic (GARCH) processes to model the sea clutter as a time series, in which the current variance is dependent on historical information.
To this end, we derived a Bayesian nonparametric approach based on Pitman Yor processes to model power-law distributions, an extension of our previous work using Dirichlet processes Dallaire et al.
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'True model': the receiver knows exactly this model, 'Blind model': the receiver uses arbitrarily his printing process to model it, and 'Est.
Channel-aware-only schedulers have been embedded in a joint PHY-MAC Markov model by using a service-vacation process to model the scheduling decisions.
Applying the Markov process to model each element pair, we will gain 62 transition probability matrices of size (T + 1) × (T + 1).
We employ the independent and identically distributed alternating ON-OFF process to model the occupation time length of PUs in uplink channels.
In particular, Huberman et.al. used a random multiplicative process to model the number of votes a story received in digg.com [2].
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