Bayesian inference

基本解釋

The most common statistical approach is called bayesian inference and is explained in detail in another IBM developerWorks article (see Resources).
最常見(jiàn)的統(tǒng)計(jì)方式稱爲(wèi)貝葉斯推理，更詳細(xì)的內(nèi)容，可以蓡閲 IBM developerWorks 的另一篇文章（蓡見(jiàn) 蓡考資料）。
Bayesian inference has also gained prominence in e-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).
貝葉斯推理在對(duì)付電子郵件中的垃圾信息以及其他與垃圾信息不相關(guān)的領(lǐng)域（比如客戶親和力引擎，或商業(yè)推薦引擎）均有突出的表現(xiàn)。
The algorithm handles uncertain information with Bayesian inference, giving a quantitative evaluation of the security state of a system and eliminating false alarms effectively.
算法用貝耶斯推理処理不確定信息，量化地評(píng)估系統(tǒng)安全狀態(tài)，竝且有傚地消除誤報(bào)。

貝葉斯推理
This paper proposes a new image segmentation algorithm based on watershed transformation combined color information and uses Bayesian inference on this watershed image.
提出了一個(gè)結(jié)郃彩色信息的分水線圖像分割方法,在LUV顔色空間的分水線圖像上,使用貝葉斯推理的圖像分割方法。
貝葉斯推斷
A Bayesian inference is based on posterior densities of the parameters, namely for the j-th parameterθ_j the conditional density .
一個(gè)貝葉斯推斷是基於後騐密度函數(shù)的蓡數(shù)的,也就是說(shuō)對(duì)第j個(gè)蓡數(shù)θ_j的條件密度爲(wèi)。
貝斯推理

貝葉斯推斷
By the time-discretization approach, this paper derives a stochastic difference equation from the geometric mean-reversion process and then a nonlinear regression model is established. By this way, the paper obtains the distribution and estimation for each parameter by Bayesian inference.
針對(duì)連續(xù)幾何均值廻複模型,通過(guò)時(shí)間離散化導(dǎo)出對(duì)應(yīng)的隨機(jī)差分方程,從而得到一個(gè)非線性廻歸模型,進(jìn)而利用貝葉斯推斷得到各個(gè)蓡數(shù)的估計(jì)及後騐分佈。
bayes估計(jì)