HKU HKU Dept of Statistics & Actuarial Science, HKU
 
 

Seminars


[ALL] [2024] [2023] [2022] [2021] [2020] [2019] [2018] [2017] [2016] [2015]
 
# Refreshments will be served 15 minutes before the seminar.
* Refreshments will be served 30 minutes before the seminar.
 

Date/Time Venue Title Speaker
2024
SEP 26, 2:30 p.m. RR301 Long-term dynamic asset allocation under asymmetric risk preferences Prof. Athanasios A. PANTELOUS
SEP 16, 11:00 a.m. RR301 Statistical methods and computational algorithms for analyzing biobank data Prof. Hua ZHOU
SEP 16, 10:00 a.m. RR301 Bayesian inference and machine learning meet spatial data science Prof. Sudipto BANERJEE
SEP 11, 2:30 p.m. RR301 Statistical approaches towards efficient transformers Prof. Yifan CHEN
AUG 29, 10:30 a.m. RR301 Deep learning algorithms with iteration policy for the nonlinear BSPDEs Prof. Jingtang MA
AUG 15, 2:00 p.m. RR301 Causal representation learning: Uncovering the hidden world Prof. Kun ZHANG
AUG 12, 10:30 a.m. RR101 A generalized phase 1-2-3 design integrating dose optimization with confirmatory treatment comparison Dr. Yong ZANG
JUL 23, 10:30 a.m. RR301 The P2P pandemic swap: Decentralized pandemic-linked securities to develop health emergency financing solutions Prof. Daniel LINDERS
JUL 22, 10:30 a.m. RR301 Statistical inference for object-valued time series Prof. Xiaofeng SHAO
JUL 19, 2:00 p.m. RR301 Time-frequency analysis, a non-stationary time series perspective Prof. Zhou ZHOU
JUL 15, 10:30 a.m. RR301 PDA: Privacy-preserving distributed algorithms & statistical inference in the era of real-world data networks Prof. Yong CHEN
JUN 12, 10:30 a.m. RR301 Integrating a novel robust mendelian randomization method for proteomics data analysis & alphafold3 for predicting 3D structural alterations Prof. Zhonghua LIU
MAY 31, 2:30 p.m. RR101 Feature screening for ultrahigh dimensional data: Methods and applications Prof. Runze LI
MAY 30, 10:00 a.m. RR101 Understanding machine learning through simple testbeds: A case study on algorithmic reasoning Ms. Bingbin LIU
MAY 29, 2:30 p.m. RR101 Adaptivity of diffusion models to manifold structures Prof. Rong TANG
MAY 24, 2:30 p.m. RR101 How to build transparent and trustworthy AI Dr. Emtiyaz KHAN
MAY 23, 2:30 p.m. RR301 Sieve estimation of state-varying factor models Prof. Liangjun SU
MAY 22, 10:30 a.m. RR301 Forecasting & backtesting gradient allocations of Expected Shortfall Dr. Takaaki KOIKE
MAY 8, 2:30 p.m. RR301 Linking no-Betting & Belief-Neutral Pareto efficiency Prof. Patrick BEISSNER
APR 30, 2:30 p.m. RR101 Controlling the false discovery rate in transformational sparsity: Split knockoffs Prof. Yuan YAO
APR 30, 10:30 a.m. RR101 Multimodal representation learning in videos & medicine Prof. Weidi XIE
APR 24, 2:30 p.m. RR301 Predictability of bond risk premia in the quantiles: A robust inference perspective Prof. Qingliang FAN
APR 18, 2:30 p.m. RR301 Sample splitting & assessing goodness-of-fit of time series Prof. Richard DAVIS
APR 17, 2:30 p.m. RR301 Factor augmented forecasting subject to structural breaks in the factor structure Prof. Xu HAN
MAR 27, 2:30 p.m. RR301 Sparse convoluted rank regression in high dimensions Dr. Le ZHOU
MAR 21, 11:00 a.m. RR301 Strategic underreporting and optimal deductible insurance Prof. Bin ZOU
FEB 22, 2:30 p.m. RR301 2D magic in the 3D world Dr. Songyou PENG
JAN 24, 4:30 p.m. RR301 Revitalizing visual content under adverse weather & complex illumination Dr. Xiaowei HU
JAN 5, 10:30 a.m. RR301 ESG considerations and portfolio choice in a multi-period model Dr. Haibo LIU