12/17~12/19

Program

2nd Conf. Room & Media Conf. Room (HSSB), 3F

 

Dec.17 (Sun.)

Dec. 18 (Mon.)

Dec. 19 (Tue.)

before 09:20 Registration    
09:20-09:30

Opening Ceremony

Registration Registration
09:30-10:30
Session 01

Order-of-Addition Experiments

Chair: Chang-Yun Lin

Jing-Wen Huang

A Systematic Design Construction and Analysis for Cost-Efficient Order-of-Addition Experiment

Shin-Fu Tsai

Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments
Session 05

Likelihood Inferences in Linear Models

Chair: Shin-Fu Tsai

Ming-Chung Chang

Moment Aberration for Multi-Stratum Factorial Designs

Rahul Mukherjee

Higher Efficiency in Block Likelihood Inference via Spread Out Blocks
Session 09

Applications of Computer Experiments

Chair: Shih-Hao Huang

Shu Yamada

Discussion on Designs for Computer Experiments on Achilles Tendon Load

William Welch

Data-Adaptive Dimensional Analysis for Enhanced Interpolation and Extrapolation Accuracy in Computer Experiments
10:30-11:00 Tea Break Tea Break Tea Break
11:00-12:00
Session 02

Optimal Design for Functional Data and Big Data Analysis

Chair: Hsin-Cheng Huang

Min Yang

Scalable Methodologies for Big Data Analysis: Integrating Advanced Statistical Models and Optimal Designs

Ming-Hung (Jason) Kao

Optimal Designs for Sparse Functional Data
Session 06

Designs with Column Information

Chair: Yasmeen Akhtar

William Li

Incorporating Column Information in Selecting Efficient Model-Robust Factorial Designs

Frederick Kin Hing Phoa

Summary of Effect Aliasing Structure for Design Selection and Factor-Column Assignment for Supersaturated Designs
Session 10

Sampling and Subsampling Techniques

Chair: Ming-Chung Chang

HaiYing Wang

Scale Invariant Optimal Subsampling

Wei Zheng

Thompson Sampling with Discrete Prior
12:00-13:30 Lunch Lunch 12:00-12:10

Closing Ceremony

13:30-15:00
Session 03

Gaussian Process Models

Chair: Yufen Huang

Shaowei Cheng

Additive Structure, Product Kernel, and Unital Gaussian Process

Xinwei Deng

An Efficient Gaussian Process Model for Computer Experiments with Tensor Output

Peter Chien

Gradient-enhanced Gaussian Process Models: What, Why and How
Session 07

Advances Techniques in Experimental Data Analysis

Chair: Ray-Bing Chen

Simon Mak

Targeted Variance Reduction: Robust Optimization of Expensive Black-Box Simulators with Noise Parameters

Weng Kee Wong

Particle Swarm Optimization as a General-Purpose Optimization Tool

Chao-Hui Huang

Uniform Placement of Alter-nodes on a Spherical Surface (U-PASS) for Ego-Centric Network and its Link to Minimum Energy Designs
15:00-15:30 Tea Break Tea Break
15:30-17:00
Session 04

Designs for Screening and Testing Experiments

Chair: Hsiang-Ling Hsu

Yasmeen Akhtar

Scalable Level-wise Screening Experiments using Locating Arrays

Shih-Hao Huang

Efficient Group Testing Designs for Robust Prevalence Estimation against Uncertain Test Error Mechanisms

Qian Xiao

Construction of Orthogonal-MaxPro Latin Hypercube Designs
Session 08

Space Filling Patterns and Criteria

Chair: Boxin Tang

Hongquan Xu

Stratification Pattern Enumerator and its Applications

Chenlu Shi

A Projection Space-Filling Criterion and Related Optimality Results

Cheng-Yu Sun

Space-Filling Regular Designs under a Minimum Aberration-Type Criterion
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