Bayesian statistics

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Bayesian statistics

[¦bāz·ē·ən stə′tis·tiks]
(statistics)
An approach to statistics in which estimates are based on a synthesis of a prior distribution and current sample data.
References in periodicals archive ?
2011, Modelling Operational Risk Using Bayesian Inference (Berlin: Springer).
The Bayesian inference commonly used in probability reasoning (Mahdavi Adeli et al.
We adopt SMILE as the fully Bayesian inference engine, which was developed by the Decision Systems Laboratory in University of Pittsburgh.
Bayesian inference provides an alternative method of characterizing savings and savings uncertainty from retrofit projects.
Bayesian inference seems to be the best way to cope with the real world in real time.
I would like to thank Dr McCulloch for his comments on my editorial (1) and for introducing the concept of Bayesian inference, but must point out that his suggestion that "parts of my editorial are misleading" is not supported by his arguments.
These probabilities then enter a Bayesian inference calculation, which, in principle, might allow one to explain why we observe the physical constants that we do, given the fact that intelligent life must exist within the universe in which the observations are made.
Bayesian Inference in Statistical Analysis, Reading Addison-Wesley.
See Appendix B for a list of several textbooks that focus on using WinBUGS to perform Bayesian inference.
Based on Autonomy's unique Bayesian inference technology, Autonomy Auminence represents a breakthrough for healthcare providers seeking to transform healthcare delivery through a deeper and more meaningful understanding of their data.
Autonomy's Bayesian Inference Technology Introduces Groundbreaking Innovations to Help Providers Deliver Better Quality Care at Lower Costs

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