[Date]:2025/06/22～2025/06/23

Fukuoka Statistics DS workshop 2025｜2025a010

Overview

• How to hold: In-person
• Venue: IMI Auditorium (W1-D-413), West Zone 1, Ito campus, Kyushu University
• Main language: English
• 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
• Organizer: Yuichi Goto, Koji Tsukuda, Gunwoong Park

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.／