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Gibbs sampling optimization in underwater sound problems
Z. H. Michalopoulou
Mathematical Sciences
Research output
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Contribution to journal
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Conference article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Gibbs sampling optimization in underwater sound problems'. Together they form a unique fingerprint.
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Keyphrases
Accurate Estimation
33%
Complex Probability
33%
Computationally Intensive
33%
Fast Computation
33%
Fast Estimation
33%
Gibbs Sampling
100%
Global Maximum
33%
High Dimension
33%
Localization Results
33%
Markov Chain Monte Carlo Methods
33%
Maximum a Posteriori Estimation
33%
Parameter Estimation
66%
Posterior Probability Distribution
66%
Probability Distribution
33%
Probability Distribution Function
33%
Probability Search
33%
Sampling Optimization
100%
Source Localization
33%
Underwater Acoustics
33%
Underwater Sound
100%
Mathematics
Higher Dimensions
50%
Markov Chain Monte Carlo Method
50%
Maximum a posteriori estimation
50%
Parameter Estimation
50%
Probability Distribution
100%
Probability Distribution Function
50%
Engineering
Conventional Method
33%
Gibbs Free Energy
100%
Maximum a Posteriori
33%
Parameter Estimation
33%
Posterior Probability
66%
Probability Distribution Function
33%
Biochemistry, Genetics and Molecular Biology
Gibbs Sampling
100%
Probability Distribution
100%
Neuroscience
Monte Carlo Method
100%