Bayesian Statistics for Beginners: a step-by-step approach
If the philosophical underpinnings of Bayes’s theorem are surprisingly rich, its mathematics are stunningly simple. In its most basic form, it is just an algebraic expression with three known variables and one unknown one. But this simple formula can lead to vast predictive insights. Bayes’s theorem is concerned with conditional probability. That i
... See moreNate Silver • The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
数据科学中的概率分布：从基础到复杂的全面指南🧠🦍
这张图展示了多种概率分布及其在数据科学中的应用。以下是一些常见的概率分布及其简单解释：
1. 正态分布（Normal Distribution）：钟形曲线，常用于自然现象的数据建模。
2. 二项分布（Binomial Distribution）：用于表示成功和失败两种结果的事件。
3. 泊松分布（Poisson Distribution）：用于描述单位时间内事件发生的次数。
4. 指数分布（Exponential Distribution）：用于表示时间间隔的概率，如客户到达时间。
5. 卡方分布（Chi-square Distribution）：用于假设检验和方差分析。
每种分布都有其特定的应用场景和参数，用于解决不同类型的问题。... See more
10-page PDF covers a semester's worth of introductory probability —⭐️The best and only #Probability Cheat Sheet that you may ever need⭐️: https://t.co/R6X98brSdo... See more
Think of it this way. In a bell curve type of situation, like displaying the distribution of height or weight in a human population, there are outliers on the spectrum of possibility, but the outliers have a fairly well-defined scope. You’ll never meet a man who is ten times the size of an average man. But in a curve with fat tails, like wealth, th
... See more