2.1 Random Experiments 2.2 Basic Concepts of Probability 2.3 Review of Set Theory 2.4 Fundamental Probability Laws 2.5 Methods of Counting 2.6 Conditional Probability 2.7 Bayes' Theorem 2.8 Independence 2.9 Conclusion

厦门大学：《概率论与数理统计 Probability and Statistics for Economists》课程教学资源（教学大纲，主讲：洪永淼）

4.1 Introduction to Asymptotic Theory 4.2 Framework and Assumptions 4.3 Consistency of OLS 4.4 Asymptotic Normality of OLS 4.5 Asymptotic Variance Estimation 4.6 Hypothesis Testing 4.7 Testing for Conditional Homoskedasticity 4.8 Conclusion

3.1 Framework and Assumptions 3.2 Ordinary Least Squares (OLS) Estimation 3.3 Goodness of Fit and Model Selection Criteria 3.4 Consistency and Efficiency of OLS 3.5 Sampling Distribution of OLS 3.6 Variance Estimation for OLS 3.7 Hypothesis Testing 3.8 Applications 3.9 Generalized Least Squares (GLS) Estimation 3.10 Conclusion

2.1 Conditional Probability Distribution 2.2 Conditional Mean and Regression Analysis 2.3 Linear Regression Modelling 2.4 Correct Model Specification for Conditional Mean 2.5 Conclusion

1.1 Introduction 1.2 Quantitative Features of Modern Economics 1.3 Mathematical Modeling 1.4 Empirical Validation 1.5 Illustrative Examples 1.6 Limitations of Econometric Analysis

1.1 General methodology of modern economic research 1.2 Roles of Econometrics 1.3 Illustrative Examples 1.4 Roles of Probability and Statistics

厦门大学：《高级计量经济学》课程教学资源（教学大纲）A Course on Advanced Econometrics（主讲：洪永淼）

中国科学院大学：《时间序列计量经济学中的非参数分析》课程教学资源（讲义材料）Introduction to Nonparametric Analysis in Time Series Econometrics

02 非参数分析的重要性 03 什么是非参数分析 (Nonparametric Analysis) 04 全局平滑法 (Global Smoothing) 目录 01 导论 06 非参数方法与机器学习 07 结论 08 05 局部平滑法 (Local Smoothing)