| Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Mathematics Program |
| Lecture Code |
WSA58000 |
Subject Classification |
Specialized Education |
| Subject Name |
確率統計特論Ｄ |
Subject Name
（Katakana） |
カクリツトウケイトクロンデー |
Subject Name in
English |
Topics in Probability and Mathematical Statistics D |
| Instructor |
WAKAKI HIROFUMI |
Instructor
(Katakana) |
ワカキ ヒロフミ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Weds5-6,Fri3-4：ECON B157 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
Lecture
|
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
01
:
Mathematics/Statistics |
| Eligible Students |
|
| Keywords |
Model selection, AIC, BIC, Cp |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
Learn about model selection criteria such as AIC, BIC, Cp. |
| Class Schedule |
lesson1:The least square estimation
lesson2:Information criterion
lesson3:Model selection based on mean squared error
lesson4:Model selection based on predicted residual squares
lesson5:Cross-validation criterion
lesson6:Generalized Cross-validation criterion
lesson7:Mallows' Cp criterion
lesson8:Bias modification of the Mallows' Cp criterion
lesson9:Maximum likelihood estimation
lesson10:Kulback-Leibler information
lesson11:AIC
lesson12:Bias modification of the AIC
lesson13:TIC
lesson14:EIC
lesson15:BIC
reports |
Text/Reference
Books,etc. |
Distribute handouts as necessary |
PC or AV used in
Class,etc. |
moodle |
| (More Details) |
Slides are used.
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Ask questions soon in the class or after the class if you cannot understand |
| Requirements |
|
| Grading Method |
reports |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |