贝叶斯推断
Sign in to saveAlso known as Bayesian analysis, Bayes' solution, Bayesian approach, Bayesian method, Bayes inference, Bayesian updating
一种从先验分布和经验数据更新模型后验概率的统计推断方法
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Vinony's link graph records 1,049 inbound references to 贝叶斯推断, and connects out to median, Bayes factor and resampling.
It is catalogued under topics including Bayesian inference, Logic and statistics and Probabilistic arguments.
Vinony links it to 37 Wikipedia language editions.
Wikidata facts
- Subclass of
- statistical inference
- Named after
- Thomas Bayes
Show 7 more facts
- Stack Exchange tag
- stackoverflow.com/tags/bayesian
- maintained by WikiProject
- WikiProject Mathematics
- Commons category
- Bayesian inference
- facet of
- Bayesian probability
- topic's main category
- Category:Bayesian inference
- ACM Classification Code (2012)
- 10003664
- on focus list of Wikimedia project
- Wikipedia:Vital articles/Level/4
Sources (2)
via Wikidata · CC0
Article · 中文
贝叶斯推断（英語：Bayesian inference）是推論統計的一种方法。这种方法使用贝叶斯定理，在有更多證據及信息時，更新特定假设的概率。贝叶斯推断是统计学（特別是数理统计学）中很重要的技巧之一。贝叶斯更新（Bayesian updating）在序列分析中格外的重要。贝叶斯推断應用在許多的領域中，包括科學、工程學、哲學、醫學、體育運動、法律等。在决策论的哲學中，贝叶斯推断和主觀概率有密切關係，常常稱為贝叶斯概率。 贝叶斯定理是由統計學家托馬斯·貝葉斯（Thomas Bayes）根據許多特例推導而成，後來被許多研究者推廣為一普遍的定理
Abstract from DBpedia / Wikipedia · CC BY-SA