So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn about continuous variables and probability density ...

今回は、確率密度関数 (probability density function, PDF)は関数を覚える、使う、というよりもむしろ、この考え方を理解するということに重点を置いています。 確率密度関数は統計に限らず、「データを正しく読む」上でとても重要になるのです。 また、データ ...

The joint probability density function \(f\) of two random variables \(X\) and \(Y\) satisfies, for every \(a_1 b_1\) and \(a_2 b_2\), \[ P(a_1\le X\le b_1, a_2\le Y ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...

This project studies how a real-world variable behaves statistically after a non-linear transformation and how a probability density function (PDF) can be learned from the transformed data. The ...

Abstract: Probability density function (PDF) curves are among the few charts on a Cartesian coordinate system that are commonly presented without y-axes. This design decision may be due to the lack of ...