Searching for "Random Measurement Bases" – sorted by Relevance.
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Gibbs Sampling Methods for Stick-Breaking Priors
- this fact, we can make the nice connection that all random measures based on Dirichlet random weights
- Cited by 67 (8 self) – Add To MetaCart
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Generalized weighted Chinese restaurant processes for species sampling mixture models
- ) ���n(p) j=1 �n−1 j=1 (b + j) �ej−1 � k=1 (k − a) . (8) We refer to random measures based
- Cited by 17 (4 self) – Add To MetaCart
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Manuscript: CJS 004JAN01
- measures based on innitely divisible random variables. In particular, this method establishes directly
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Software Project Management and Measurement on the World-Wide-Web (WWW)
- on their relation to overall organizational goals. Instead of collecting metrics at random, measurement is based
- Cited by 5 (1 self) – Add To MetaCart
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Distributed compressed sensing
- projections at the sensors. As in single-signal CS, random measurement bases are universal in the sense
- Cited by 15 (8 self) – Add To MetaCart
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Simulation of Cluster Point Processes Without Edge Effects
- measure based on the marked point process by (A) = X [x;m]2 mK(x;A) : (2) Note that the niteness
- Cited by 3 (0 self) – Add To MetaCart
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WVU Principal Investigator
- organizational goals. Instead of collecting metrics at random, measurement is based on the goals of a project
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Quasi-invariance for Lévy processes under anticipating shifts
- ] for more complete references. In the standard Poisson case (i.e. for Poisson random measures based on IR
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