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Thus the quantized binary observations are (40).
Binary observations can be considered as extreme censoring.
For simplicity, say that the process generates time-indexed binary observations, i.e., 0's and 1's.
The observations are quantized with one bit (binary observations), and then these binary observations are transmitted through a noisy channel to a fusion center where is estimated (see [32, 33] and references therein).
We demonstrate the implementation of our methodology on a case study of an urban catchment, where we estimate the parameters of a hydrodynamic rainfall-runoff model from binary observations of combined sewer overflows.
Note that this suboptimal algorithm differs from the one proposed in [9], which applies maximal a posteriori (MAP) criterion to detect binary observations of sensors and then uses the results as the true values of the observations in a MLE derived in noise-free channels.
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For R cooperative users with a binary observation series d r ∈{0,1}, the predicted occupancy state at each cooperative user r at time instance t is defined as (d_{r}= hat {x}_{r}(t)).
Each data set consisted of 2000 individuals with one binary observation each.
For the analysis of deafness as a binary observation there is no need to estimate the fixed thresholds.
For example, binary observation models have previously been used in the context of modeling interictal spikes (Ossadtchi et al., 2005).
For example, binary observation models have previously been used in the context of modeling interictal spikes (Ossadtchi et al., 2005)." Reviewer 3: 1.
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