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2025-07-13 Sunday

Zhongde Hall (UTC+8) 2025-07-13 Local Time

08:30-10:10 (UTC+8) 08:30-10:10 Local Time | IS080: Network Structure & Model: New Insights and Applications
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 08:30-08:55 08:30-08:55 Invited Talk

Network Varying Coefficient Model

Wei Lan Southwestern University of Finance and Economics
2 08:55-09:20 08:55-09:20 Invited Talk

A Large-scale Citation Network with Applications in Academic Literature Recommendation

Rui Pan Central University of Finance and Economics
3 09:20-09:45 09:20-09:45 Invited Talk

Two-way Node Popularity Model for Directed and Bipartite Networks

Jiangzhou Wang Shenzhen University
4 09:45-10:10 09:45-10:10 Invited Talk

Inference in Semiparametric Formation Models for Directed Networks

Lianqiang Qu Central China Normal University
10:30-12:10 (UTC+8) 10:30-12:10 Local Time | IS081: Data Science in Statistical Seismology
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 10:30-10:55 10:30-10:55 Invited Talk

On the Development of the ETAS Model in Seismicity Modeling: Achievements and Challenges

Jiancang Zhuang The Institute of Statistical Mathematics, Japan
2 10:55-11:20 10:55-11:20 Invited Talk

Application of machine learning for earthquake early warning and aftershock prediction.

Stephan Wu The Institute of Statistical Mathematics
3 11:20-11:45 11:20-11:45 Invited Talk

Bayesian analysis of temporal variations in seismic parameter probability model: Insights into the seismic cycle

Elisa Varini National Research Council of Italy, Institute for Applied Mathematics and Information Technologies (CNR-IMATI)
4 11:45-12:10 11:45-12:10 Invited Talk

Investigating aseismic drivers of swarm-like seismicity through nonstationary ETAS modeling: Insights from the 4-year Mt. Pollino sequence

Giuseppe Petrillo Nanyang Technological University
13:30-15:10 (UTC+8) 13:30-15:10 Local Time | IS082: Advancing Learning Techniques and Diagnostic Methods for Analyzing Complex Survival Data
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 13:30-13:55 13:30-13:55 Invited Talk

Neural network for interval-censored data with application to Alzheimer’s disease

Tao Sun Renmin University of China
2 13:55-14:20 13:55-14:20 Invited Talk

Statistical methods for transfer learning in survival analysis

Yu Gu University of Hong Kong
3 14:20-14:45 14:20-14:45 Invited Talk

Evaluating discrimination accuracy of prognostic models with competing risk outcomes

Yang Qu Central South University
4 14:45-15:10 14:45-15:10 Invited Talk

Regression Trees and Ensembles for Cumulative Incidence Functions

Youngjoo Cho Konkuk University
15:30-17:10 (UTC+8) 15:30-17:10 Local Time | IS083: Financial Statistics and its Application
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 15:30-15:55 15:30-15:55 Invited Talk

Distribution of continuous-time stochastic volatility

Zhi Liu University of Macau
2 15:55-16:20 15:55-16:20 Invited Talk

TBD

Dong Li Tsinghua University
3 16:20-16:45 16:20-16:45 Invited Talk

Martingal Difference Divergence Tests for Granger Causality in Quantiles

Muyi Li Xiamen University