SemesterFall Semester, 2025
DepartmentPhD Program of Statistics, First Year PhD Program of Statistics, Second Year
Course NameStatistical Methods and Network Analysis
InstructorCHEN LI-PANG
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule







































































Week Topic
1 Topic 1: Fundation of graphical models
2 Topic 1: Fundation of graphical models
3 Progress report
4 Topic 2: Nonparametric graphical models
5 Topic 2: Nonparametric graphical models
6 Progress report
7 Topic 3: Multi-dimensional graphical models
8 Topic 3: Multi-dimensional graphical models
9 Progress report
10 Topic 4: Measurement error in graphical models
11 Topic 4: Measurement error in graphical models
12 Progress report
13 Topic 5: Other advanced topics
14 Final oral presentation
15 Final oral presentation
16 Final oral presentation


Note: 



1. Students should be familiar with R programming code and some advanced statistical tools.



2. Students are expected to workload 3 hours for weekly progress.


Teaching Methods
Teaching Assistant

N/A


Requirement/Grading

Attendence and discussion: 20%



Final presentation (in English): 50%



Technical report (in English): 30%


Textbook & Reference

Chen, L.-P. (2024). Estimation of graphical models:  An overview of selected topics. International Statistical Review, 92, 194-245.


Urls about Course
Attachment