Cargando…
Information-theoretic methods for estimating of complicated probability distributions
Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based meth...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Elsevier Science
2006
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2066186 |
Sumario: | Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based methods for estimating complicated probability distributions. Estimating probability distribution of a random variable is the fundamental task for quite some fields besides statistics, such as reliability, probabilistic risk analysis (PSA), machine learning, pattern recognization, image processing, neur |
---|