Programme

Programme

Day 1
09:00 — 09:30
Registration and welcome coffee
09:30 — 09:45
Opening remarks: Christopher Chao, Vice President, PolyU
09:45 — 10:45
Prediction, structure uncertainty and decisions: Betting on better models
10:45 — 11:15
Coffee break
11:15 — 11:45
Session 1: Foundations of statistics

Advancing statistical frontiers: Integrative analysis and deep learning in high-dimensional data science

11:45 — 12:15
Network and Artificial Intelligence Approaches in Healthcare and Business
12:15 — 12:45
Toward robust and scalable Bayesian deep learning
12:45 — 14:00
Lunch break
14:00 — 14:30
Session 2: Emerging trends in AI and statistics

Unveiling Genetic Complexity: Fine Mapping with h2-D2 Bayesian Approach in Multi-Ancestry Settings

14:30 — 15:00
Bayesian Knockoff Filter for FDR Control
15:00 — 15:30
Exploring Bayesian Structural Equation Modeling: Innovations and Applications in Medical and Behavioral Sciences
15:30 — 16:00
Coffee break
16:00 — 17:00
Panel discussion

Bridging the gap: Integrating statistical and AI methods

17:00 — 17:15
Closing remarks for day one
Day 2
09:30 — 10:30
Bayesian inference and computational innovations: Advancing statistical machine learning in Biology
10:30 — 11:15
Coffee break
11:15 — 11:45
Session 3: Foundations of AI

Rethinking Intelligence through Embodiment and Autonomous Agents

11:45 — 12:15
Collaboration and evolution of foundation and specialised models
12:15 — 12:45
Integrating statistical modelling and computation: Innovations in bioinformatics, text mining, and social network analysis
12:45 — 14:00
Lunch break
14:00 — 14:30
Session 4: Emerging Computational Methods

 Filter Parametrization Methods and Their Applications

14:30 — 15:00
Machine learning and Bayesian approaches: Transforming empirical asset pricing in finance
15:00 — 15:30
Generative Models for Statistical Uncertainty
15:30 — 16:00
Coffee break
16:00 — 17:00
Panel discussion

Charting the path forward: Collaborative innovations and future directions

17:00 — 17:15
Closing remarks for day 2

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