Sentence examples for distribution of a state from inspiring English sources
Using the particle filtering approach, the probability distribution of the estimated locations of the sources being tracked is approximated with a distribution of a state vector of particles and the state of each particle is recursively updated.
Therefore, the only parameter for the duration distribution of a state is the self-looping probability p of that state.
An advantage of flow cells is their suitability for relatively fast and reliable experiments, although measuring spatial distributions of a state variable within the cell is often difficult.
The simulated PDF of FBP levels exhibited a bimodal distribution consisting of a state of low FBP where the concentration was in the high micromolar range.
We now extend this result to more general distributions of a and state the following propositiona: Let y=g s where the vector of sources is defined by A1.
Cong et al. [8] propose a robust MCMC-based PF tracking framework, which combines a color-based observation model with detection confidence density derived from histograms of oriented gradients (HOG) descriptor, and adopts MCMC-based particle algorithm to estimate the posterior distribution of the state of a human object to solve the robust human tracking problem.
Cracking is modelled in a diffuse manner by a distribution of an appropriate scalar state variable associated to material degradation.
Including a distribution of localised state energies, obtained by modifying those calculated for GaNAs, makes the calculated absorption spectra smoother and gives better agreement with experimental data but still shows some discrepancies around the localised state peak energies.
It is shown later that the analysis using an extended SBN structure provides an alternative and efficient way of estimating the steady-state distribution of a PBN without resorting to the state transition matrix.
The method fits the forward model to the measurement under constraints by an a priori probability distribution of the state vector in the forward model.
The plan is updated periodically assuring a need-oriented inpatient service with an equal distribution of hospitals state wide based on population density.
