Summary the knowledge of Bayesian, Causality and peak theory
The fundamental knowledge of Dynamic Bayesian Network, in this blog, the author introduced the fundamental nation of the Bayesian theory.
Bayesian
- Bayesian Theory
- Dynamic Bayesian networks - an introduction-A python tutorial for Dynamic Bayesian network
- Time Series Parameter learning in Python
- Application of dynamic Bayesian-意大利实验室
- implementation of dynamic Bayesian in python
- Implementation of dynamic Bayesian in MATLAB
- A Python library for amortized Bayesian workflows using generative neural networks
- BayesFlow
- Markov Network
- Software by Kevin Murphy and students
- The Power of Bayesian Causal Inference: A Comparative Analysis of Libraries to Reveal Hidden Causality in Your Dataset.
- A Step-by-Step Guide in detecting causal relationships using Bayesian Structure Learning in Python
Causality inference
- Causality inference(因果推断简介及论文介绍)
- Causal inference(因果推断英文书单整理及简介)
- Causal inference with Machinel and AI(使用机器学习和AI进行因果推断)
- Causal Inference & Machine Learning(Causal inference in 知乎)
- Causal Inference for the Brave and True(A book of introduction causal inference)
- Causal inference in csdn
- Causality inference Book summary(因果推断书籍代码合集)
- Causal Inference in Python
- Causal Inference: What If (the book Faculty Website)
- Causal inference resource(useful Causality inference)
- Github resources
- A tutorial of causal inference in python
- causal inference good video
- double machin lerning
- Causal Inference for The Brave and True
- Double Machine Learning
- EconML-github
- Uplift Modeling
- Uplift Modeling2
- AB实验人群定向HTE模型5 - Meta Learner
- 因果推断笔记——入门学习因果推断在智能营销、补贴的通用框架
- 知乎系列博客
- 知乎系列-反事实推断
- 画画因果图
- 美团-因果启发的学习、推断和决策
- 基于图自编码器的因果结构学习模型
- Causal inference when treatments are continuous variables
- 连续处理的因果推理
- duoble Merchine Learning2
- 因果发现-独立性测试
- 因果发现-基本方法
- 双机器学习
- 因果发现31种高效经典方案汇总
- 因果分析，PC算法(PC Algorithm)
- 因果关系初探（9）—— 因果关系发现
- Bayesina network in R
- Introductory tutorial on Bayesian networks in R
- CausalitySlides
- Causal Inference for The Brave and True
- some paper related to causal inference
- Causal Inference The Mixtape
- Causal discovery with TIGRAMITE
- DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python
- awesome-causality-algorithms
- 因果推断笔记
- Causal inference when treatments are continuous variables
- Machine Learning-based Causal Inference Tutorial
- Causal Discovery with Multivariate Time Series Data
- bnlearn: Practical Bayesian Networks in R
- Constraint-based causal discovery methods
- 粗化精确匹配（CEM）的基本思想
- Causal Effects via Regression
- Double Machine Learning
- Causal inference in DUKE
- End-to-end balancing for causal continuous treatment-effect estimation
- CAUSAL IN STATA
- Double Machine Learning
- [Causal Inference: A Statistical Learning Approach](https://web.stanford.edu/~swager/causal_inf_book.pdf
Causal discovery good project in github
Good slide about causal inference
no marks
Dynamic Bayesian Network
- Dynamic Bayesian Network PPT
- Dynamic Bayesian Network (DBN)
- learning the structure of Dynamic Bayesian Network
- DYNOTEARS: Structure Learning from Time-Series Data
- Pgmpy-Best library of Bayesian
- Introduction to pyAgrum
- Causalnex
- dynamic Bayesian networks
- end-to-end balancing for causal continuous treatment-effect estimation
implementation of Bayesian Networks
- Bayesian Networks Explained With Examples
- Bayesian inference problem, MCMC and variational inference
- R数据分析：网络分析的做法，原理和复现方法
- 交通环境行为预测-predicted trajectory
- 交互行为
- 自动驾驶长期车辆轨迹预测的概率架构
- EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
- econml’s documentation
- Dowhy
- Causalify discovery
Peak theory
- Peak theory
- Peak theory in matlab
- pareto theory in scipy.stats
- 广义Pareto分布—极值理论的学习3
- 阈值超越量与尾部估计
- A story about a probability distribution: Pareto distribution
- Monte Carlo Simulation: A Comprehensive Guide
- Add an example
Probability theory- distribution
- Weibull distribution
- SMOTE过采样详解
- Cohen’s kappa
- 留一验证法
- Modeling data distributions
- Density Estimation for a Gaussian mixture
- Feature discretization
- Bivariate Normal Distribution
Gaussian process Dynamical Models
- 高斯过程动态模型简析
- Gaussian Process Dynamical Models
- 任务参数化高斯混合模型（task-parameterized Gaussian mixture model，TP-GMM）
- Bivariate Normal Distribution
- On-line Gaussian Mixture Model with Recurrent Neural Network.ipynb
- 现代统计-高斯过程
- 高斯过程案例
- gaussian_process_case
- 高斯过程 Gaussian Processes 原理、可视化及代码实现
Dynamic bayesian
*Bayesian Velocity Models for Horse Race Simulation * A Modern and Comprehensive Probabilistic Programming Framework in Python
极值分析
Data science
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