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→连续分布的PDF In terms of PDFs for continuous distributions
where <math>p_{(X,Y)}</math> is now the joint probability density function of <math>X</math> and <math>Y</math>, and <math>p_X</math> and <math>p_Y</math> are the marginal probability density functions of <math>X</math> and <math>Y</math> respectively.
where <math>p_{(X,Y)}</math> is now the joint probability density function of <math>X</math> and <math>Y</math>, and <math>p_X</math> and <math>p_Y</math> are the marginal probability density functions of <math>X</math> and <math>Y</math> respectively.
式中，<math>p_{(X,Y)}</math>是<math>X</math>和<math>Y</math>的联合概率密度函数，而<math>p_X</math>和<math>p_Y</math>分别是<math>X</math>和<math>Y</math>的边际'''概率密度函数 Probability density function'''。
式中，<math>p_{(X,Y)}</math>是<math>X</math>和<math>Y</math>的联合概率密度函数，而<math>p_X</math>和<math>p_Y</math>分别是<math>X</math>和<math>Y</math>的'''<font color="#ff8000">边缘概率密度函数 Probability density function</font>'''。