哈佛大学-数学统计科研
一、科研内容参考
Topic 1: Data Collection, Cleaning and Normalization
Topic 2: Introduction to statistics, modeling, and computation
Topic 3: Multinomial Logit Models (MNL) and OLS models
Topic 4: Analytic Hierarchy Process (AHP)
Topic 5: Entropy method
Topic 6: Classical TOPSIS
Topic 7: Rank-sum ratio
Topic 8: Clustering Analysis (CA)
Topic 9: BP Neural Network
Topic 10: Principal Component Analysis (PCA)/Common Factor Analysis (CFA)
Topic 11: Multiple Correspondence Analysis (MCA)
Topic 12: EndNote