What is the translation of " BAYESIAN STATISTICS " in Chinese?

• 贝叶斯统计

Examples of using Bayesian statistics in English and their translations into Chinese

Bayesian Statistics.
贝叶斯统计.

I work in the fields of machine learning and Bayesian statistics.
我从事机器学习和贝叶斯统计学领域的工作。

How Bayesian statistics convinced me to hit the gym.
趣学】贝叶斯统计数据如何说服我去健身房.

Explain the difference between frequentist and bayesian statistics.
了解贝叶斯与频率统计之间的差异.

The fundamentals of Bayesian statistics will be revised and then buillt upon.
贝叶斯统计的基本面将进行修订，然后在一个buillt。

Her talk focused on how human brains hold onto stubborn beliefs, attention systems, and Bayesian statistics.
她的演讲重点在于人脑如何固守自己的信念、注意力系统、以及贝叶斯统计。

Bayesian statistics is often contrasted with"frequentist" statistics..
贝叶斯统计数据通常与“频率主义”统计数据形成对比。

His girlfriend remembers being woken up by Swartz one morning because he was desperate to hear her views on Bayesian statistics.
他的女朋友回忆说，某个早晨她被Aaron叫醒，因为他急切地想要了解她对贝叶斯统计的看法。

Bayesian statistics are often put in opposition to“frequentist” statistics..
贝叶斯统计数据通常与“频率主义”统计数据形成对比。

Silver even successfully finds a way to gently introduce the reader to Bayesian statistics, which is hard to believe but true.
西尔弗甚至还成功找到一种方法把贝叶斯统计深入浅出地介绍给读者，这虽然令人难以置信，但他确实做到了。

This characteristic of Bayesian statistics lends them a combination of stability and flexibility.
贝叶斯统计数据的特点使其兼具稳定性和灵活性。

A First Course in Bayesian Statistical Methods,* by Peter Hoff(Springer, 2009), is an introduction to Bayesian statistics.
PeterHoff的AFirstCourseinBayesianStatisticalMethods*（Springer,2009）一书则对贝叶斯统计进行了介绍。

Bayesian statistics encompasses a specific class of models that could be used for machine learning.
贝叶斯统计包含了一类可以用于机器学习的特定模型。

If you think Bayes' theorem is counter-intuitive and Bayesian statistics, which builds upon Baye's theorem, can be very hard to understand.
如果你认为贝叶斯定理是反直觉的，那么建立在贝叶斯定理基础上的贝叶斯统计就很难理解。

Bayesian statistics“are rippling through everything from physics to cancer research, ecology to psychology,” The New York Times reports.
从物理学到癌症研究，从生态学到心理学，贝叶斯统计正渗透到各个领域，」《纽约时报》如此报道。

So to a frequentist the notion of"Probability that you are using Bayesian Statistics correctly" is meaningless: One cannot do repeated trials, even in principle.
因此，对于频率论者来说，“正确使用贝叶斯统计量的概率”这一概念毫无意义：即使在原则上也不能进行重复试验。

Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus.
大多数关于贝叶斯统计的书籍都使用数学符号，并根据微积分等数学概念提出想法。

These computational models were built based on mathematical concepts from information theory and Bayesian statistics and have been extensively validated over the past decade.
这些计算模型是基于信息论和贝叶斯统计学的数学概念构建的，并在过去十年中得到了广泛的验证。

Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.
融合了以下三个领域：贝叶斯统计学和机器学习、深度学习、概率编程。

Lasso's ability to perform subset selection relies on the form of the constraint and has a variety of interpretations including in terms of geometry, Bayesian statistics, and convex analysis.
Lasso选择子集的能力依赖于限制条件的形式并且有多种表现形式，包括几何学，贝叶斯统计，和凸分析。

Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.
Edward融合了以下三个领域：贝叶斯统计学和机器学习、深度学习、概率编程。

In Bayesian statistics, a maximum a posteriori probability(MAP) estimate is an estimate of an unknown quantity, that equals the mode of the posterior distribution.
在贝叶斯统计，一个最大后验概率（MAP）估计是未知数，即等于的估计模式的的后验分布。

Fully understanding why we use Bayesian Statistics requires us to first understand where Frequency Statistics fails.
完全理解为什么在我们使用贝叶斯统计的时候，要求首先理解频率统计失败的地方。

In Bayesian statistics, the posterior probability of a random event or an uncertain proposition is the conditional probability that is assigned after the relevant evidence or background is taken into account.
在贝叶斯统计中，一个随机事件或者一个不确定事件的后验概率是在考虑和给出相关证据或数据后所得到的条件概率。

(2) We build computational models using Bayesian statistics to calculate how people could move optimally or learn to move optimally.
我们使用贝叶斯统计建立计算模型，以计算人们如何最佳地移动或学习如何最佳地移动。

Fully understanding why we use Bayesian Statistics requires us to first understand where Frequency Statistics fails.
完全理解我们使用贝叶斯统计的原因要求我们首先了解频率统计（FrequencyStatistics）失败的地方。

According to a recent article in the NYT,“… Bayesian statistics are rippling through everything from physics to cancer research, ecology to psychology.
纽约时报说，贝叶斯统计学家“遍布一切，从物理学到癌症研究，从生态学到心理学”。

Bayesian Statistic.
贝叶斯统计.

This is where Bayesian Statistic is important.
这也就是贝叶斯统计厉害的地方。