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Figure 1 depicts the system model of interest, a packet-oriented ARQ system.
Next, denote by (theta) a parameter that is believed to characterize the probability model of interest.
The channel model of interest is a Rayleigh fading channel with correlated fading coefficients.
The second model of interest invokes continuously mediated processes underlying recognition memory.
The model of interest was found to be identifiable in all parameters.
The last model, which is the main model of interest shows results from the propensity score matching estimation.
The method we introduced in this manuscript is a convenient, linear discretization of the mathematical model of interest.
The rest of the paper is organized as follows: Section II briefs the system model of interest and ANCC.
Note that st* and γt*are characteristic of each training set compound contributing to the model of interest.
The latter is a subjective, interpretation work and the results depend on the choice of physics model of interest.
In particular, we use an approach based on target detection, where we assume that an object/target model of interest is known beforehand.
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