Publications

Our Faculty members are frequent contributors to world-renowned journals and serve on editorial boards of top IS, OM and Statistics academic journals.

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Business Statistics

Applications of Bayesian Networks in Assessing the Effects of Family Resilience on Caregiver Behavioral Problems, Depressive Symptoms, and Burdens

Chu, Amanda M. Y., Chan, Shun Hin, Chang, Stephen S. Y., Tiwari, Agnes, Yuk, Helina, So, Ka Pui
Journal of Computational Social Science, May 2024
Business Statistics

Bayesian Systemic Risk Analysis using Latent Space Network Models

So, Mike Ka Pui, Chan, Wing Chun, Chu, Amanda Man Ying
Data Science in Science, v. 3, (1), December 2024, article number 2381724
Business Statistics

Child-friendly Family Reduces Parenting Stress in Chinese Families: the Mediating Role of Family Resilience

Chu, Amanda Man Ying, Tsang, Jenny Tsun Yee, Tiwari, Agnes, Yuk, Helina, So, Ka Pui
Frontiers in Psychology, v. 15, October 2024, article number 1430005
Business Statistics

Realized BEKK-CAW Models

Asai, Manabu, So, Ka Pui
Journal of Time Series Econometrics, v. 15, (1), January 2023, p. 49-77
Business Statistics

Standardized Local Assortativity in Networks and Systemic Risk in Financial Markets

So, Ka Pui, Mak, Anson S. W., Chan, Ngai Lam, Chu, Amanda M. Y.
PLoS ONE, v. 18, (10), October 2023, article number e0292327
Business Statistics

A Moving-window Bayesian Network Model for Assessing Systemic Risk in Financial Markets

Chan, Shun Hin, Chu, Amanda M. Y., So, Ka Pui
PLoS ONE, v. 18, (1), January 2023, article number e0279888
Business Statistics

A Multivariate Randomized Response Model for Sensitive Binary Data

Chu, Amanda M. Y., Omori, Yasuhiro, So, Hing Yu, So, Ka Pui
Econometrics and Statistics, v. 27, July 2023, p. 16-35
Business Statistics

Augmenting Fake Content Detection in Online Platforms: A Domain Adaptive Transfer Learning via Adversarial Training Approach

Ng, Ka Chung, Ke, Ping Fan, So, Ka Pui, Tam, Kar Yan
Production and Operations Management, v. 32, (7), July 2023, p. 2101-2122
Business Statistics

Discussion of Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue

So, Ka Pui, Chen, Cathy W. S
Applied Stochastic Models in Business and Industry, v. 39, (3), May 2023, p. 310-311
Business Statistics

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19

Chu, Amanda M. Y., Chong, Andy C. Y., Lai, Nick H. T., Tiwari, Agnes, So, Ka Pui
JMIR Public Health and Surveillance, v. 9, (1), September 2023, article number e42446