Topic Contributed Paper Sessions

Days

Hrs

Mins

Secs

Program

Preliminary Program (Last update date: 28-May-2026)

CS01

Bayesian and Likelihood-Based Inference

Chair

Weichang Yu, The University of Melbourne, Australia

Invited Speakers

1. Weichang Yu, The University of Melbourne, Australia
2. Yichen Zhu, The University of Hong Kong, Hong Kong
3. Khue-Dung Dang, The University of Western Australia, Australia
4. Nelson Jinn-Yih Chua, Australian National University, Australia
5. Shogo Kusano, KumamotoUniversity, Japan

CS02

Causal Inference and Treatment Effects

Chair

Yuming Sun, William & Mary, United States

Invited Speakers

1. Yuming Sun, William & Mary, United States
2. Richard Guo, University of Michigan, United States
3. Ha-YoungShin, Soongsil University, Republic of Korea
4. Hisayuki Hara, Kyoto University, Japan

CS03

High-dimensional Inference, Factor Models, and Latent Variables

Chair

Yuqi Zhang, University of Bristol, United Kingdom

Invited Speakers

1. Yuqi Zhang, University of Bristol, United Kingdom
2. Kyoowon Kim, Seoul National University, Republic of Korea
3. Zhining Wang, The Australian National University, Australia
4. Giheon Seong, Seoul National University, Republic of Korea
5. Kanta Naito, Tohoku University, Japan

CS04

Classification, Variable Selection, and Deep Learning

Chair

Bradley Rava, The University of Sydney, Australia

Invited Speakers

1. Bradley Rava, The University of Sydney, Australia
2. Dongha Kim, Sungshin Women's University, Republic of Korea
3. Hirofumi Ota, The University of Tokyo, Japan
4. Tao He, San Francisco State University, United States

CS05

Time Series, Stochastic Processes, and Financial Statistics

Chair

Ziyuan Zhang, Purdue University, United States

Invited Speakers

1. Gehui Zhang, Southwest Petroleum University, China
2. Boyuan Ning, Waseda University, Japan
3. Edward Hill, Queen Mary University of London, United Kingdom
4. Jiazhen Xu, Macquarie University, Australia
5. Ziyuan Zhang, Purdue University, United States

CS06

Survival Analysis, Clinical Trials, and Biostatistics

Chair

Yanqing Yi, Memorial University of Newfoundland, Canada

Invited Speakers

1. Hyeon Seok Oh, Korea University, Republic of Korea
2. Shanpeng Li, City of Hope, United States
3. Yanqing Yi, Memorial University of Newfoundland, Canada
4. Abhimanyu Singh Yadav, Banaras Hindu University, India
5. Yuji Komiyama, Tohoku University, Japan

CS07

Nonparametric and Semiparametric Statistical Methods

Chair

Dennis Leung, The University of Melbourne, Australia

Invited Speakers

1. Dennis Leung, The University of Melbourne, Australia
2. Taishi Kuzumoto, The University of Tokyo, Japan
3. Deborshi Das, Indian Statistical Institute, New Delhi, India
4. Daisuke Matsuno, Tohoku University, Japan
5. Eun-Ji Lee, Chungbuk National University, Republic of Korea

CS08

Conformal Prediction, Reinforcement Learning, and Modern Statistical Methods

Chair

Tongyu Li, National University of Singapore, Singapore

Invited Speakers

1. Chihoon Lee, Seoul National University, Republic of Korea
2. Wenbo Jing, City University of Hong Kong, Hong Kong
3. Soohyun Ahn, Ajou University, Republic of Korea
4. Yongjae Kim, Seoul National University, Republic of Korea
5. Tongyu Li, National University of Singapore, Singapore

CS09

Bayesian Inference, Monte Carlo, and Statistical Estimation

Chair

Ka Lok Lam, University of California, Santa Barbara, United States

Invited Speakers

1. Pushkar Mohan Kale, National University of Singapore, Singapore
2. Ka Lok Lam, University of California, Santa Barbara, United States
3. Linus David Fromm, University of Otago, New Zealand
4. Jyun-Yu Chen, Academia Sinica, Taiwan

CS10

Semiparametric Regression and Censored Data Analysis

Chair

Sangbum Choi, Korea University, Republic of Korea

Invited Speakers

1. Zhi Yang Tho, The Australian National University, Australia
2. Sangbum Choi, Korea University, Republic of Korea
3. Xiaoxi Zhang, Seattle University, United States
4. Charles Zhao, The University of North Carolina at Chapel Hill, United States

CS11

Change Point Detection, High-dimensional Time Series, and Functional Data

Chair

Debanjana Datta, Indian Statistical Institute, Bangalore, India

Invited Speakers

1. Debanjana Datta, Indian Statistical Institute, Bangalore, India
2. Jaesung Park, Seoul National University, Republic of Korea
3. Namgil Lee, Kangwon National University, Republic of Korea
4. Mingxu Li, Beijing Normal Hong Kong Baptist University, China

CS12

Biostatistics, Genomics, and Multiple Testing

Chair

Ninh Tran, The University of Melbourne, Australia

Invited Speakers

1. Hanning Chen, The University of Melbourne, Australia
2. Ninh Tran, The University of Melbourne, Australia
3. Armeen Taeb, University of Washington, United States
4. Qin Shao, The University of Toledo, United States

CS13

Applied Probability, Financial Statistics, and Cure Models

Chair

Hugh Entwistle, Macquarie University, Australia

Invited Speakers

1. Hugh Entwistle, Macquarie University, Australia
2. Yuanhang Luo, The Hong Kong Polytechnic University, Hong Kong
3. Junyan Ye, The Chinese University of Hong Kong, Hong Kong

CS14

Latent Variable Models, Identifiability, and Complex Dependence Structures

Chair

Jimin Kim, Seoul National University, Republic of Korea

Invited Speakers

1. Chengyu Cui, University of Michigan, United States
2. Jiayi Huang, University of Virginia, United States
3. Chengzhu Huang, Columbia University, United States
4. Jimin Kim, Seoul National University, Republic of Korea

Program Schedule

Plenary Speakers and Distinguished Lecturers

Invited Paper Sessions

Contributed Paper Sessions

Poster Session

Program

Bayesian and Likelihood-Based Inference

Causal Inference and Treatment Effects

High-dimensional Inference, Factor Models, and Latent Variables

Classification, Variable Selection, and Deep Learning

Time Series, Stochastic Processes, and Financial Statistics

Survival Analysis, Clinical Trials, and Biostatistics

Nonparametric and Semiparametric Statistical Methods

Conformal Prediction, Reinforcement Learning, and Modern Statistical Methods

Bayesian Inference, Monte Carlo, and Statistical Estimation

Semiparametric Regression and Censored Data Analysis

Change Point Detection, High-dimensional Time Series, and Functional Data

Biostatistics, Genomics, and Multiple Testing

Applied Probability, Financial Statistics, and Cure Models

Latent Variable Models, Identifiability, and Complex Dependence Structures