Bayesian inference and maximum entropy methods in science and engineering; proceedings.0735402922
Bayesian inference Bayesian inference is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name "Bayesian" comes from the frequent use of Bayes' theorem in the inference process. and maximum entropy methods in science and engineering; proceedings.
Int'l Workshop on Bayesian Inference and Maximum Entropy Methods in Science... (25th: 2005: San Jose San Jose, city, United States
San Jose (sănəzā`, săn hōzā`), city (1990 pop. 782,248), seat of Santa Clara co., W central Calif.; founded 1777, inc. 1850. , CA) Ed. by Kevin H. Knuth et al.
American Institute of Physics The American Institute of Physics (AIP) is a professional body representing American physicists and publishing physics related journals. It was founded in 1931.
The aims of the organization are: "promoting the advancement and diffusion of the knowledge of physics and its
AIP AIP acute intermittent porphyria.
AIP Acute intermittent porphyria conference proceedings; v.803
In these proceedings of the August 2005 conference, contributors describe their work in mathematical and statistical physics, probability theory and statistics, information theory, computational science, applications of Bayesian and maximum entropy methods in physics, space science, earth science, biology, and signal and image processing. Topics include all aspects of probabilistic (probability) probabilistic - Relating to, or governed by, probability. The behaviour of a probabilistic system cannot be predicted exactly but the probability of certain behaviours is known. Such systems may be simulated using pseudorandom numbers. inference such as techniques, applications and foundations, with applications including physics, space science, earth science, biology, imaging, communication and text analysis, graphic models and source separation. The 25 papers have been peer-reviewed,
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