搜狐

Python用PyMC3实现贝叶斯线性回归模型

在本文中，我们将在贝叶斯框架中引入回归建模，并使用PyMC3 MCMC库进行推理。 我们将首先回顾经典频率论的多重线性回归方法。然后讨论贝叶斯如何考虑线性回归。 用PyMC3进行贝叶斯线性回归 在本节中，我们将对统计实例进行一种经典的方法，即模拟一些我们 ...
TechRepublic

Python Metaclass Tutorial with Examples

Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial. Python, known for its simplicity and readability, ...
搜狐

Python用 PyMC3 贝叶斯推理案例研究：抛硬币和保险索赔发生结果可视化

在这里，我们将帮助客户将 PyMC3 用于两个贝叶斯推理案例研究：抛硬币和保险索赔发生。 设置先前的假设，并根据启发式、历史或样本数据建立我们数据的“已知已知”。 形式化问题空间和先前假设的数学模型。 正式化先前的分布。 应用贝叶定理从观察到的 ...
GitHub

How to do Bayesian statistical modelling using numpy and PyMC3.

If you're looking for the material for a specific conference tutorial, navigate to the notebooks directory and look for a subdirectory for the conference you're interested. For example, notebooks/ODSC ...
GitHub

Doing Bayesian Data Analysis - Python/PyMC3

This repository contains Python/PyMC3 code for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan', Second Edition, by John Kruschke (2015 ...