[Date]:2025/06/22~2025/06/23
(Up-coming)Fukuoka Statistics DS workshop 2025|2025a010
CATEGORY:Events
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Overview
- How to hold: In-person
- Venue: IMI Auditorium (W1-D-413), West Zone 1, Ito campus, Kyushu University
- Main language: Japanese
- Type/Category: Grant for General Research-Workshop(Ⅱ)
- Title of Research Project: Fukuoka Statistics DS workshop 2025
- Principal Investigator: Yuichi Goto(Kyushu University/ Assistant professor)
- Research Period: June 22, 2025.-June 23, 2025
- Open to the Public: June 22, 2025.-June 23, 2025
- Details of the Research Plan: https://joint2.imi.kyushu-u.ac.jp/en_research_chooses/view/2025a010
Program
June 22, 2025
14:00-14:40 Session 1
Gunwoong Park(Associate Professor Seoul National University)
Recent Works on Causal Discovery
14:40-15:00 Coffee Break
15:00-15:40 Invited Session
Joonho Shin (Assistant Professor Sungshin Women’s University)
Fourier analysis for inhomogeneous spatial point processes
15:40-16:00 Coffee Break
16:00-16:50 Session 3
Takato Hashino(Kyushu University)
A study of Shannon entropy via Bayesian nonparametrics
Hirai Mukasa(Kyushu University)
A study of Bayes linear estimators in a general linear model
June 23, 2025
11:00-12:00 Open Discussion
12:00-13:20 Lunch Break
13:20-14:10 Session 4
Soma Nikai(Kyushu University)
A study on M-estimation of scatter matrix focusing on precision structure estimation
Kohei Kawamoto(Kyushu University)
A study on PCA connectivity analysis in three groups
14:10-14:30 Coffee Break
14:30-15:20 Session 5
Seungchan Nahm(Seoul National University)
An Experimental Design Approach to Multicenter Multireader Multicase ROC Curve Analysis
Sanghun Jeong(Seoul National University)
Transformed Function on Scalar Regression for Random Distribution
15:20-15:40 Coffee Break
15:40-16:30 Session 6
Byeongguk Kang(Seoul National University)
High-Dimensional Linear Structural Equation Model Learning under Additive Measurement Error
Donguk Shin (Seoul National University)
Identifiability of Measurement Error Variance in Sparse Error-in-Variables Regression
Registration
Advance registration is required.
Free participation fee.
(Registration also requires Organizing Committee members and speakers.)
Registration may be closed when the number of participants reaches the maximum.
\Please go to the following link for registration./