Speakers
All names in a given section are listed in alphabetical order.
Keynote Speakers
- Associate Professor, Department of Medical Informatics, Biometry and Epidemiology of the Faculty of Medicine, LMU Munich
- Research interests: medical/computational statistics, metascience focused on statistical and health sciences, statistical consulting in medical research.
- Talk Title: A replication crisis in methodological computational research?
- Associate Professor, School of Computing and Information, University of Pittsburgh
- Research interests:
human and social dynamics. computational approaches to analyzing, mining and visualizing large-scale, time-varying, heterogeneous, multi-relational, and semistructured data. - Talk Title: Countering information disorder through data science
- Professor, H. Milton School of Industrial and Systems Engineering, Georgia Institute of Technology
- Research interests: resampling methods, industrial statistics, design of experiments, robust parameter design.
- Talk Title: Data science in the age of uncertainties
Invited Session Organizers and Speakers
SI1
Title: Statistica Sinica Special Session: High Dimensional Statistics And Massive Data Analysis
Session organizer: Su-Yun Huang, Acadamia Sinica
Speakers:
- Shao-Hsuan Wang, National Central University, Taiwan
Quantification of model bias underlying the phenomenon of einstein from noise - Liping Zhu, Renmin University, China
Distributed sufficient dimension reduction for heterogeneous massive data - Shurong Zheng, Northeast Normal University, China
Hypothesis testing for block-structured correlation for high dimensional variables
SI2
Title: Visual Analytics and Data Visualization
Session Organizers: Wen-Chieh Lin, National Yang Ming Chia Tung University, Taiwan , Yu-Shuen Wang, National Yang Ming Chia Tung University, Taiwan
Speakers:
- Hsiang-Yun Wu, TU Wien, Austria
Visual mapping for human-data communication - Ko-Chih (Casey) Wang, National Taiwan Normal University, Taiwan
DLA-VPS: deep learning assisted visual parameter space analysis of cosmological simulations - Naohisa Sakamoto, Kobe University, Japan
Tensor based visual analytics for multidimensional time-series
SI3
Title: Reliable and Distributionally Robust Statistical Machine Learning
Session organizer: Peter Bühlmann, ETH Z¨urich, Switzerland
Speakers:
- Niki Kilbertus, TU Munich
Bounding causal effects — can we relax our assumptions - Niklas Pfister, University of Copenhagen
Distribution generalization with instrumental variables - Dominik Rothenhäusler, Stanford University
Calibrated inference: Statistical inference that accounts for both sampling uncertainty and distributional uncertainty
SI4
Title: Statistical Learning and Data Science
Session organizer: Tim Verdonck, University of Antwerp, Belgium
Speakers:
- Anthony-Alexander Christidis, University of British Columbia
Data-driven diverse logistic regression ensembles - Maria Óskarsdóttir, Reykjavik University
Influence in complex networks: predicting churn in mobile gaming - Ines Wilms, University of Maastricht
Data-driven solutions for large-scale agile demand forecasting at digital platforms
SI5
Title: Journal of Data Science, Statistics, and Visualisation
Session organizer: Stefan Van Aelst, Katholieke Universiteit, Leuven, and Patrick Groenen, Erasmus University Rotterdam, Netherlands
Speakers:
- Adalbert F.X., Wilhelm, Jacobs University, Germany
Visual narratives of the Covid-19 pandemic - Marcelo Ruiz, Universidad Nacional de R´ıo Cuarto, Argentina
A stepwise approach for high-dimensional Gaussian graphical models - Jakob Raymaekers, Katholieke Universiteit, Leuven
Handling cellwise outliers by sparse regression and robust covariance
SI6
Title: Data visualization and machine learning
Session organizer: Anne Ruiz-Gazen, University of Toulouse Capitole, France
Speakers:
- Peter Rousseeuw, KU Leuven
Class maps for visualizing classification results - Madalina Olteanu, Université Paris Dauphine
Multidimensional urban segregation – toward a neural network measure - Ursula Laa, Statistics Institute, University of Natural Resources and Life Sciences, Vienna
Multivariate visualization for the interpretation of clustering results
SI7
Title: Optimization and its Application in Data Science
Session organizer: Ray-Bing Chen, National Cheng Kung University, Taiwan
Speakers:
- Frederick Kin Hing Phoa, Academia Sinica, Taiwan
Multichannel sale optimization via constrained swarm intelligence - Jein-Shan Chen, National Taiwan Normal University, Taiwan
Smoothing strategies for signal reconstruction problem - Thorsten Koch, TU Berlin / Zuse Institute Berlin, Germany
Progress in mathematical programming solvers from 2001 to 2020
LI1
Title: Utilization And Potential Of Visualization In Various Fields And Some Critical Consideration
Session organizer: Yuichi Mori, Okayama University of Science, Japan
Speakers:
- Tomokazu Fujino, Fukuoka Women’s University, Japan
Network visualization of university curricula based on the degree of linkage between subjects - Kei Hisanaga, Okayama University of Science, Japan
Use and visualization of data in soccer - Juergen Symanzik, Utah State University, USA
The good, the bad, and the ugly: three years of mostly bad coronavirus graphs
LI2
Title: Econometrics and Data Science
Session organizer: Shih-Feng Huang, National University of Kaohsiung, Taiwan
Speakers:
- Hoi Ying Wong, The Chinese University of Hong Kong, Hong Kong
Deep LOB trading: half a second, please - Li-Hsien Sun, National Central University, Taiwan
Online change point detection via copula based Markov models - Liang-Ching Lin, National Cheng Kung University, Taiwan
Monitoring photochemical pollutants based on symbolic interval-valued data analysis
LI3
Title: Advances in Gaussian Process Modeling for Uncertainty Quantification and Quality Improvement.
Session organizer: Matthias Hwai-yong Tan, City University of Hong Kong, Hong Kong
Speakers:
- Lulu Kang, Illinois Institute of Technology, USA
Additive Gaussian process models via convex combination of kernels - Linhan Ouyang, Nanjing University of Aeronautics and Astronautics, China
Quality prediction based on Gaussian process model with selective ensemble kernel - Mei Han, Nanjing University of Aeronautics and Astronautics, China
A kriging-based active learning algorithm for contour estimation of integrated response with noise factors
LI4
Title: Recent Developments In Biostatistics
Session organizer: Keunbaik Lee, Sungkyunkwan University, Korea
Speakers:
- Chanmin Kim, Sungkyunkwan University, Korea
Bayesian nonparametric model for heterogeneous treatment effects with zero-inflated data - Hyunsoon Cho, National Cancer Center, Korea
Data science in cancer research: understanding cancer patients’ survival and survivorship - Keunbaik Lee, Sungkyunkwan University, Korea
Bayesian cumulative probit linear mixed models for longitudinal ordinary data
LI5
Title: Big Data Applications in Medical Field
Session organizer: Pei-Fang Su, National Cheng Kung University, Taiwan
Speakers:
- Yi-Shan Tsai, National Cheng Kung University, Taiwan
Radiomics in Medical Imaging: an opportunity to enhance clinical decision-making - Chao-Han Lai, National Cheng Kung University, Taiwan
Application of data science in healthcare: an intensivist’s view - Peng-Chan Lin, National Cheng Kung University, Taiwan
Biomedical literature mining contextualizes genes and identifies novel therapeutic gene targets in cancer research
LI6
Title: Statistical Methods For Missing Values And Complex Dependence
Session organizer: Xiuqin Xu, National University of Singapore, Singapore
Speakers:
- Huang Lei, Southwest Jiaotong University, China
Nonparametric regression with right-censored covariate via conditional density function - Xiaofei Xu, Waseda University, Japan
Long-memory log-linear zero-inflated generalized Poisson autoregression for COVID-19 pandemic modeling - Xiuqin Xu, National University of Singapore, Singapore
Deep switching state space model for nonlinear time series forecasting with regime switching
LI7
Title: Advances In Statistical Modeling
Session organizer: Ying Chen, National University of Singapore, Singapore
Speakers:
- Maria Grith, Erasmus University Rotterdam, Netherlands
The block-autoregressive model in non-standard base - Wei Li, National University of Singapore, Singapore
Case-based reasoning in bankruptcy prediction - Yijiong Zhang, National University of Singapore Research Institute Chong Qing, China
Policy effectiveness on the global COVID-19 pandemic and unemployment outcomes: a large mixed frequency spatial approach
LI8
Title: Air Pollution: Statistical Analysis, Data Visualization and Social Impacts
Session Organizer: Frederick Kin Hing Phoa, Academia Sinica, Taiwan
Speakers:
- Chi-Wei Lai, Institute of Statistics, National Tsing Hua University, Taiwan
Spatially adaptive calibrations of AirBox PM2.5 data - Mahsa Ashouri, Institute of Statistical Science, Academia Sinica, Taiwan
Interactive visualization for time series clusters with domain-relevant attributes - Ta-Chien Chan, Research Center for Humanities and Social Sciences, Academia Sinica, Taiwan
Relationships among green space, ambient fine particulate matter, and cancer incidence in Taiwan
LI9
Title: Frontiers in Biobank Research
Session organizers: Hsin-Chou Yang, Academia Sinica, Taiwan, and Chun-Houh Chen, Academia Sinica, Taiwan
Speakers:
- Te-Chang Lee, Institute of Biomedical Sciences and Taiwan Biobank, Academia Sinica, Taiwan
Taiwan Biobank for the health of future generations - Jung-Ying Tzeng, Department of Statistics, NC State University, USA
Association methods for biobank studies: scalable gene-environment interaction tests and copy number variant association tests - Ren-Hua Chung, Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan
Polygenic risk construction for type 2 diabetes using the Taiwan Biobank and public summary statistics for East Asian
LI10
Title: Advanced Learning from Data
Session organizer: Cheng-Te Li, National Cheng Kung University, Taiwan
Speakers:
- Hung-Hsuan Chen, National Central University, Taiwan
Associated learning: a methodology to decompose end-to-end backpropagation on CNN, RNN, and Transformer - Chia-Mu Yu, National Yang Ming Chiao Tung University, Taiwan
Data synthesis with differential privacy - Chih-Chieh Hung National Chung Hsing University, Taiwan
Gold digging from smart card data in understanding users’ travel behaviors
LI11
Title: Innovation methodology development and application of causal inference
Session organizer: Sheng-Hsuan Lin, National Yang Ming Chiao Tung University, Taiwan
Speakers:
- Yen-Tsung Huang, Academia Sinica, Taiwan
Causal inference in the multiverse of hazard - BaoLuo Sun, National University of Singapore, Singapore
Semiparametric efficient G-estimation with invalid instrumental variables - Jiun-Yu Wu, National Yang Ming Chiao Tung University, Taiwan
Learning analytics with experimental design on structured and unstructured heterogeneous data sources in a flipped statistics classroom
LI12
Title: Optimal Subsampling Strategies from Big Data to Make Inference
Session organizer: Weng Kee Wong, UCLA, USA
Speakers:
- Dimitris Karlis, Athens University of Economics and Business, Greece
About the selection of optimal subdata for big data regression - Yongdao Zhou, Nankai University, China
Model-free subsampling method based on uniform designs - Elena Pesce, Swiss Re Institute, Swiss Re Management Ltd, Zurich, Switzerland
Optimal subset selection without outliers - HaiYing Wang, University of Connecticut, USA
Nonuniform negative sampling and log odds correction with rare events data
Contributed Session Speakers
C1
Title: Recent Development of Statistical Methods
Session chair: Martin Lukusa, Department of Statistics, National Cheng Kung University
Speakers:
Matthijs Koopmans, School of Education, Mercy College,USA,
Fractal estimation in time series data: a visual approach to the detection of self-similaritySuneel Babu Chatla, Department of Mathematical Sciences, University of Texas at El Paso, Texas, USA
A new kernel regression approach for robustified l2 boostingShun Hin Chan, Department of information systems, business Statistics and operations management, The Hong Kong University of Science and Technology, Hong Kong
Dynamic Bayesian network analysis for financial risk assessment
C2
Title: Statistical Methods for Medical Studies
Session chair: Nan-Cheng Su, Department of Statistics, National Taipei University
Speakers:
- Jacopo Di Iorio, Department of Statistics, The Pennsylvania State University, Canada
COVID-19 in Italy: characterizing the shapes of epidemic waves through functional data analysis
Gianpaolo Zammarchi, University of Cagliari, Department of Business and Economics, Italy
The effects of COVID-19 outbreak on Italy country reputation and stock exchange indexYifan Cui, Department of Statistics and Data Science, National University of Singapore, Singapore
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
C3
Title: Statistical Analysis of Spatio-Temporal Data
Session chair: Kuo-Jung Lee, Department of Statistics, National Cheng Kung University
Speakers:
Philip Cheng, Institute of Statistical Science, Academia Sinica, Taiwan,
Likelihood ratio tests for Lorenz dominanceKyusoon Kim, Department of Statistics, Seoul National University, Korea
Principal component analysis for river network data: use of spatio-temporal correlation and heterogeneous covarianceJunho Yang, Institute of Statistical Science, Academia Sinica, Taiwan
On minimum contrast method for multivariate stationary spatial point processesHuei-Yuan Yao, Department of Statistics, National Chengchi University, Taiwan
Alternative granger causality tests based on vector autoregressive modelJuin-Der Lee, Institute of Statistical Science, Academia Sinica, Taiwan
NP-EEG toolbox: an open-source toolbox for analyzing naturalistic EEGs
C4
Title: Statistical Methods for Big Data Analysis
Session chair: Shuen-Lin Jeng, Department of Statistics, National Cheng Kung University
Speakers:
Chen-Zhi (Carolin) Su, Institute of Service Science, National Tsing Hua University, Taiwan
When forecasts fail: using decision trees to detect weaknesses of forecasting algorithmsVinay Tiwari, Department of Statistics, Savitribai Phule Pune University, India
OutlierDetection: an R package for scoring and visualization of outliersShuen-Lin Jeng, Department of Statistics, National Cheng Kung University, Taiwan
Pattern classification for partially masked images using bimodal convolutional neural networkTing-Wu Wang, School of Information and Physical Sciences, University of Newcastle, Australia
Quantitative analysis, power transformations and categorical data visualizationFu-Chang Hu, Statistical Consulting Clinic, International-Harvard (I-H) Statistical Consulting Company, Taiwan
How would statisticians dance the waltz with computing engineers in the big data era?
Poster Session
- Yu-Hsi Chen, Department of Applied Mathematics, National Yang Ming Chiao Tung University Taiwan
A prior feature enhanced network for small objects detection and tracking - Suchun Cheng, Department of Data Science, Dana-Farber Cancer Institute USA
Knowledge-driven online multimodal automated phenotyping system - Younsang Cho, Department of Statistics, Inha University, Korea
Comparative study of CUDA GPU implementations in Python with the fast iterative shrinkage-thresholding algorithm for LASSO - Ching-Ru Ho, Data Science Master Degree Program, National Taiwan University, Taiwan
Training graph neural networks via self-supervised learning: experiments and analysis - Wei-Ting Lai, Department of Statistics, National Cheng Kung University, Taiwan
Variational Bayesian inference for network autoregression models - Yi-Ju Lee, Institute of Statistical Science, Academia Sinica, Taiwan
Visualizing latent structures of ADNI dataset in generalized association plots (GAP) and structural equation modelling (SEM) - Yun-Wen Lin, Department of financial engineering and actuarial mathematics, Soochow University, Taiwan
Analysis of related risk factors for dementia - Wei-Cheng Su, Department of financial engineering and actuarial mathematics, Soochow University, Taiwan
Analyze and clean MLB data and apply machine learning tools to hazard classification tables - Jia-Ren Tsai, Department of Statistics and Information Science, Fu Jen Catholic University, Taiwan
PM2.5 air pollution detection of influential observations based on the linear regression model with measurement errors - ShengLi Tzeng, Department of Applied Mathematics, National Sun Yat-sen University, Taiwan
Hierarchical clustering from vertex links - Shintaro Yuki, Graduate School of Culture and Information Science, Doshisha University, Japan
Estimation of treatment effects for multiple outcomes by using weighting approach