Sentence examples for by averaging the conditional from inspiring English sources

The average PER at terminal can be numerically evaluated by averaging the conditional PER (15) over all possible realizations of ; as (16).

By averaging the conditional risk function over all states h j i, i = 0, 1, 2, we obtain average risk (Levin [1963]): J = ∑ i = 0 2 p i J j i, (11).

The density p ζ ̂ ( z ) of Class VI channel simulators can then be obtained by averaging the conditional density p ζ ̂ ( z | c n = c n ) over the distribution p c (y) of the N i.i.d.i.d

The average symbol error probability of the output of SSC can be evaluated by averaging the conditional symbol error probability for a given SIR, over the PDF of, that is, [19]: (16).

It is shown in [31] that the average error probability can be obtained by averaging the conditional error probability of modulation scheme over the PDF of instantaneous post-detection SNR of MIMO scheme.

The error probability for MC CC-CDMA under Nakagami-m fading channel is obtained by averaging the conditional error probability with respect to γ as follows {P_e}^{mathrm{Naka}}={displaystyle underset{0}{overset{infty }{int }}}kern0.5em {P_e}^{mathrm{AWGN}}left(gamma right).

Following the methodology developed by Verdinelli and Wasserman [ 11], the Bayes factor between Model HE and Model HO i (BF HE/HO i ) can be easily calculated from the Markov chain Monte Carlo sampler output of Model HE, by averaging the full conditional densities of each cycle at π i = 0.5 using the Rao-Blackwell argument [ 17].

Therefore, we estimated the mean of this conditional performance where the mean is over multiple training sets and obtained by bootstrapping the training set multiple times and averaging the conditional AUCs, as tested on the validation set [ 21].

The conditional acceptability as a composite measure was generated by averaging the scores assigned to each condition.

The conditional mean is then calculated by averaging the path offset values at each sample for all trials within each condition, first for each subject and then across subjects.

Gibbs sampling based on posterior distributions conditional on other effects was implemented for estimation by averaging the samples from 10,000 cycles, after discarding the first 1,000.