- Bayesian Model Averaging
- Mathematics: BMA
Универсальный русско-английский словарь. Академик.ру. 2011.
Bayesian Model Averaging
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Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Bayesian experimental design — provides a general probability theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for… … Wikipedia
Centro de Neurociencias de Cuba — Saltar a navegación, búsqueda El Centro de Neurociencias de Cuba (CNEURO) está ubicado en Playa, provincia de Ciudad de La Habana. Surgió en 1969 como uno de los primeros grupos en el mundo en emplear la computación para el análisis de la… … Wikipedia Español
Cuban Neurosciences Center — The Cuban Neurosciencies Center (CNEURO) is located in Playa, Ciudad de la Habana province. It was founded in 1969 as one of the first groups in the world to use informatics for the analysis of the brain s electrical activity. The Cuban… … Wikipedia
BMA — may stand for:* Backup Management Applications * Baltimore Museum of Art * Bangladesh Military Academy * Baptist Missionary Association of America, an association of churches in the United States * Battery Manufacturing Association, a British… … Wikipedia
Fagonia — arabica Systematik Kerneudikotyledonen Rosiden Eurosiden I … Deutsch Wikipedia
BMA — British Medical Association (Medical » Veterinary) British Medical Association (Medical » Oncology) British Medical Association (Governmental » Police) * Bond Market Association (Business » General) * Bayesian Model Averaging (Academic & Science… … Abbreviations dictionary
Nils Lid Hjort — (born 12 January 1953) is a Norwegian statistician, and has been a professor of mathematical statistics at the University of Oslo since 1991. Hjort s research themes are unusually varied, with particularly noteworthy contributions in the fields… … Wikipedia
Deviance information criterion — The deviance information criterion (DIC) is a hierarchical modeling generalization of the AIC (Akaike information criterion) and BIC (Bayesian information criterion, also known as the Schwarz criterion). It is particularly useful in Bayesian… … Wikipedia
Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… … Wikipedia
Kullback–Leibler divergence — In probability theory and information theory, the Kullback–Leibler divergence[1][2][3] (also information divergence, information gain, relative entropy, or KLIC) is a non symmetric measure of the difference between two probability distributions P … Wikipedia
