Summer Course on Probability and Statistics

今年7月初再上一次9小时暑期课程。讲义和原代码完全公开。本年度在内容上有如下更新：

1. 撰写了完整的讲义；
2. 新增了数据实例；
3. 简化了数学。

在技术上有以下主要更新：

1. 采用ipynb格式，且在行文中嵌入了R代码。
2. 采用jupyter-book发布html

概率论：Probability theory talks about the construction and implications of probability models. For example, given a probability distribution, what are the mean and variance? What is the distribution of a transformed random variable? In computer simulations, probability theory tells us what will happen to the generated realizations, in particular when the experiments can be repeated as many times as the researcher wishes. This is a real-world analogue of the frequentist’s interpretation of probability.

全文在这里