贝叶斯统计
Sign in to savestatistics theory that uses Bayes’ theorem to compute and update probabilities after obtaining new data
In the Vinony graph
Within Vinony's link graph, 贝叶斯统计 is referenced by 367 other articles, and connects out to statistical model, posterior probability and prior probability.
It is catalogued under the topic Bayesian statistics.
Its subject is documented across 27 Wikipedia language editions.
Wikidata facts
- Instance of
- academic discipline
- Part of
- statistics
- Named after
- Thomas Bayes
Show 3 more facts
- topic's main category
- Category:Bayesian statistics
- uses
- Bayes' theorem
- topic has template
- Template:Bayesian statistics
Sources (2)
via Wikidata · CC0
Article · 中文
贝叶斯统计是一种基于贝叶斯概率的统计学理论。贝叶斯统计对于概率的理解与频次学派不同。频次学派将概率解释为多次尝试后事件相对频率的极限，而贝叶斯统计将概率解释为对事件的置信程度。置信程度可以基于关于事件的先验知识，例如先前实验的结果，或者基于关于事件的个人信念。
Abstract from DBpedia / Wikipedia · CC BY-SA
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statistical model
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posterior probability
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prior probability
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maximum a posteriori estimation
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statistics
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International Standard Book Number
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algorithm
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probability
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Pierre-Simon Laplace
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digital object identifier
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integral
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probability theory
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OCLC, Inc.
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random variable
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bibcode
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Bayes' theorem
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arXiv
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mode
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probability distribution
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proposition
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