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This algorithm is based on three steps: (1) calculating local sufficient statistics at every node, (2) estimating a global sufficient statistics vector using a consensus filter, (3) updating parameters of the finite mixture model based on the global sufficient statistics vector.
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All posterior trees from our thrips and Acacia MrBayes runs were filtered using a consensus topology constraint conducted in PAUP* v.4b10 [ 102], and divergence times estimated from these phylograms using r8s.
Here, we ameliorated that issue by using a consensus caller that is less vulnerable to reference sequence bias and by adding more stringent quality filtering (http://www.dpgp.org/dpgp2/DPGP2.html).
In this paper, a consensus filter based distributed variational Bayesian (CFBDVB) algorithm is developed for distributed density estimation.
This paper presents a decentralized observer with a consensus filter for the state observation of discrete-time linear distributed systems.
These local statistics are then fused between neighbor nodes and a consensus filter is applied to achieve a global estimation.
For the purposes of comparison with SWEEP, we have compiled a consensus filtering procedure.
The corresponding measurement error models of integrated sensors are also proposed by using the Kalman consensus filter to estimate states and conduct data fusion in order to regulate the single sensor measurement results.
Images were reconstructed using a dedicated cardiac filter (CC-filter).
One landmark study isolated the link using a cultural filter.
Using a fuel filter wrench, remove the old fuel filter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com