Also known as PDF, probability function, density function, density
PDF,統計學名詞
A probability density function is a mathematical tool that describes how likely different outcomes are in a situation where results can vary continuously (like measuring height or temperature). It matters because by calculating the area under this function across any range of values, you can determine the probability that an outcome will fall within that range.
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在数学中,连续型随机变量的概率密度函數(Probability density function,簡寫作PDF ),在不致於混淆时可简称为密度函数,是一个描述这个随机变量的输出值,在某个确定的取值点附近的可能性的函数。圖中,橫軸為隨機變量的取值,縱軸為概率密度函數的值,而随机变量的取值落在某个区域内的概率為概率密度函数在这个区域上的积分。当概率密度函数存在的时候,累積分佈函數是概率密度函数的积分。 概率密度函数有时也被称为概率分布函数,但这种称法可能会和累积分布函数(CDF)或概率质量函数(PMF)混淆。
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).