Sentence examples for prior statistics from inspiring English sources

And, as indicated in the prior statistics, a big part of the company's success has been that its auction platform includes both a web experience as well as for mobile devices, as it offers apps for iPhone, BlackBerry, and iPad.

The source DOA is modeled as a random variable with prior statistics, and the a priori PDF of DOA is fixedly set to be uniform at 81 evenly spaced points over [-10°:10°] in all simulations.

In the experiment, the prior probability P(S k ), 1 ≤ k ≤ c of different symbols S k is not equal, and all prior probabilities come from the prior statistics of the training dataset.

In the Bayesian setting where we assume prior statistics on the target location, the target localization error covariance is bounded by the BCRB the inverse of the analogous Bayesian information matrix (BIM).

A similar approach introducing spatial contextual information through neighborhood statistics of the GMM components collected on training images is proposed in [2], where the learned-prior statistics are used for relaxation of the original region classification.

SABMP algorithm assumes prior Gaussian statistics of the additive noise and the sparsity rate.

In general, the WSLR technique is an optimal way of linearizing any nonlinear function in the minimum mean square error (MMSE) sense as this approach explicitly takes into account the prior RV statistics (e.g., mean and covariance).

It can be seen that the conclusions with Gaussian distribution can also be obtained.At last, the performance analysis of the proposed algorithm is described, when the prior NLOS statistics are incorrect.

To solve the problem that when the model uncertainties exists or the prior noise statistics are unknown, the accuracy of the cubature Kalman filter (CKF) will decline or diverge, an adaptive robust square-root CKF ARSCKFF) algorithm with the noise statistic estimator is proposed.

This assumption is considered reasonable for researchers who want to develop a new prediction model on their own IPD, incorporating prior summary statistics from regression results.

Distance moved and mobility parameters were obtained from EthoVision tracking program analysis (Noldus Information Technology Inc., Leesburg, VA), and baseline parameters were subtracted prior to statistics.