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
DEC 17, 2:30 p.m. RR301 Exploring the positive synergies between statistics and deep learning Professor Zhonghua LIU
DEC 16, 10:00 a.m. RR301 Offline reinforcement learning for price impact models Professor Yufei ZHANG
DEC 12, 2:00 p.m. RR301 Deep autoencoders for nonlinear factor models: theory and applications Professor Dacheng XIU
DEC 12, 10:00 a.m. RR301 Testing for heterogeneous treatment effects in fuzzy regression discontinuity Professor Xiaojun SONG
DEC 6, 4:00 p.m.* CBA Threshold models in time series analysis: 40 odd years on Professor Howell TONG
NOV 29, 2:00 p.m. RR301 Checking the Cox regression model with interval-censored data Professor Yangjianchen XU
NOV 28, 2:30 p.m. RR301 Decentralized annuity: A quest for the holy grail of lifetime financial security Professor Runhuan FENG
NOV 15, 4:30 p.m. RR301 [RE-SCHEDULED] Neural network on interval censored data with application to the prediction of Alzheimer's disease Dr. Tao SUN
NOV 15, 4:00 p.m. RR301 [RE-SCHEDULED] Fitting additive tree models to incomplete data via the EB algorithm with applications to insurance loss prediction Dr. Guangyuan GAO
NOV 13, 2:00 p.m. RR301 Overlap approximations - Causal inference under positivity violations Dr. Andrew YIU
NOV 5, 10:30 a.m. RR301 Unmasking the hidden statistical assumptions in online experiments Dr. C.H. Bryan LIU
SEP 26, 2:30 p.m. RR301 Long-term dynamic asset allocation under asymmetric risk preferences Professor Athanasios A. PANTELOUS
SEP 16, 11:00 a.m. RR301 Statistical methods and computational algorithms for analyzing biobank data Professor Hua ZHOU
SEP 16, 10:00 a.m. RR301 Bayesian inference and machine learning meet spatial data science Professor Sudipto BANERJEE
SEP 11, 2:30 p.m. RR301 Statistical approaches towards efficient transformers Professor Yifan CHEN
AUG 29, 10:30 a.m. RR301 Deep learning algorithms with iteration policy for the nonlinear BSPDEs Professor Jingtang MA
AUG 15, 2:00 p.m. RR301 Causal representation learning: Uncovering the hidden world Professor 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 Professor Daniel LINDERS
JUL 22, 10:30 a.m. RR301 Statistical inference for object-valued time series Professor Xiaofeng SHAO
JUL 19, 2:00 p.m. RR301 Time-frequency analysis, a non-stationary time series perspective Professor Zhou ZHOU
JUL 15, 10:30 a.m. RR301 PDA: Privacy-preserving distributed algorithms & statistical inference in the era of real-world data networks Professor 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 Professor Zhonghua LIU
MAY 31, 2:30 p.m. RR101 Feature screening for ultrahigh dimensional data: Methods and applications Professor 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 Professor 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 Professor 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 Professor Patrick BEISSNER
APR 30, 2:30 p.m. RR101 Controlling the false discovery rate in transformational sparsity: Split knockoffs Professor Yuan YAO
APR 30, 10:30 a.m. RR101 Multimodal representation learning in videos & medicine Professor Weidi XIE
APR 24, 2:30 p.m. RR301 Predictability of bond risk premia in the quantiles: A robust inference perspective Professor Qingliang FAN
APR 18, 2:30 p.m. RR301 Sample splitting & assessing goodness-of-fit of time series Professor Richard DAVIS
APR 17, 2:30 p.m. RR301 Factor augmented forecasting subject to structural breaks in the factor structure Professor 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 Professor 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