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Poster Session

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Poster Session

PS01

Sheng-mao Chang, National Taipei University, Taiwan

Modeling Multiple-Criterion Diagnoses by Heterogeneous-instance Logistic Regression

PS02

Xiaoyu Dong, National University of Singapore, Singapore

Dimension Reduction Using Random Projection

PS03

Nurin Dureh, Prince of Songkla University, Thailand

Spatial Disparities and Determinants of Child Stunting in Thailand: Evidence from the 2019 Multiple Indicator Cluster Survey

PS04

Jialin He, University of Michigan, United States

Heterogeneous Latent Embedding Models for Hypergraphs with Covariates

PS05

Ying Huang, Fred Hutchinson Cancer Center, United States

Assessing Screening Efficacy In The Presence Of Cancer Overdiagnosis

PS06

Chang Jun Im, Seoul National University, Republic of Korea

Local Fréchet Regression with Toroidal Predictors

PS07

Makoto Ito, University of Nagasaki, Japan

Empirical Analysis of the Business Dynamics of Japanese Firms Operating in China

PS08

Nayoung Jeong, Ewha Womans University, Republic of Korea

Interval-based Adult Age Estimation Using Dental Features: A Conformal Approach

PS09

Bing Ru Jhou, National Tsing Hua University, Taiwan

A Censored Spatiotemporal Model for Statistical Downscaling of GCM Precipitation, A Censored Spatiotemporal
Model for Statistical Downscaling of GCM Precipitation

PS10

Dongyoung Lee, Chungbuk National University, Republic of Korea

Change Point Detection in Unevenly Spaced Time Series via Generalized Adaptive Penalized Regression Splines

PS11

Juseong Lee, Chungbuk National University, Republic of Korea

Logistic Polygram Regression for Binary Classification of Compositional Data

PS12

Jingyi Li, National University of Singapore, Singapore

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

PS13

Kouji Tahata, Tokyo University of Science, Japan

Inference for Simplicial Skewness in Aitchison Geometry with Applications to Square Contingency Tables

PS14

Yijie Wang, Indiana University Bloomington, United States

Structured and Scalable AI for High-dimensional Biological Data: Beyond Lasso Under Correlation

PS15

Siyu Xie, University of Michigan, United States

Quantile-based Risk-aware Contextual Bandits in High Dimensions

PS16

Zineng Xu, National University of Singapore, Singapore

On the Statistical Optimality of Optimal Decision Trees

PS17

Jubeen Yi, Kangwon National University, Republic of Korea

Predictive Modeling for Drug Repurposing Using Side-effect and Toxicity Similarities

PS18

Dongju Yim, Chungbuk National University, Republic of Korea

Distribution of Intersections in Two-dimensional Random Curved Fiber Networks: Using Circular Arc Models

History

Previous Meetings

Organizer

Organizers

The conference is being organized by The Chinese University of Hong Kong (CUHK), in collaboration with the Institute of Mathematical Statistics (IMS). By bringing together a diverse group of participants, the organizers aim to facilitate meaningful interactions and collaborations that will drive the advancement of statistical science in the Asia Pacific Rim and beyond.