S. T. Boris Choy

26 papers Misc 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward an Integrated Cross-Urban Accident Prevention System: A Multi-Task Spatial-Temporal Learning Framework for Urban Safety Management. CoRR Jiayu Fang, Zhiqi Shao, Haoning Xi, S. T. Boris Choy, Junbin Gao
2025	Misc	`conf`	Machine Learning for Traffic Accident Prediction: Integrating Spatial, Temporal, and Behavioral Data for Road Safety Insights. AusDM Sudarat Sukjaroen, Xiaodan Dong, S. T. Boris Choy, Weidong Huang
2025	J	`jnl`	STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting. CoRR Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025	—	`conf`	SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. AI (1) Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025	J	`jnl`	SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. CoRR Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2024	J	`jnl`	An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model. Comput. Stat. Xiaonan Zhu, Zheng Wei, Tonghui Wang, S. T. Boris Choy, Ziwei Ma
2024	J	`jnl`	Extending the A Priori Procedure (APP) to Analysis of Variance Models under Normality. Axioms Liqun Hu, Tonghui Wang, David Trafimow, S. T. Boris Choy
2023	J	`jnl`	A New Inverse Extended Weibull Distribution for Modelling Insurance Loss Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Shilin Yu, Xuan Li, S. T. Boris Choy
2023	—	`conf`	Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. ADMA (1) Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao
2023	—	`conf`	The a Priori Procedure for Estimating the Cohen's Effect Size Under Independent Skew Normal Settings. IUKM (1) Cong Wang, Tonghui Wang, Xiangfei Chen, David Trafimow, Tingting Tong, Liqun Hu, S. T. Boris Choy
2021	J	`jnl`	Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2021	J	`jnl`	Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. CoRR Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao
2019	J	`jnl`	Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2019	—	`conf`	Tensor-Train Parameterization for Ultra Dimensionality Reduction. ICBK Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
2019	J	`jnl`	Tensor-Train Parameterization for Ultra Dimensionality Reduction. CoRR Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
2018	—	`ch.`	Measures of Mutually Complete Dependence for Discrete Random Vectors. Predictive Econometrics and Big Data Xiaonan Zhu, Tonghui Wang, S. T. Boris Choy, Kittawit Autchariyapanitkul
2018	—	`conf`	The Skew-t Option Pricing Model. ECONVN Claudia Yeap, S. T. Boris Choy, S. Simon Kwok
2017	—	`ch.`	Robustness in Forecasting Future Liabilities in Insurance. Robustness in Econometrics W. Y. Jessica Leung, S. T. Boris Choy
2016	—	`ch.`	Autoregressive Conditional Duration Model with an Extended Weibull Error Distribution. Causal Inference in Econometrics Rasika P. Yatigammana, S. T. Boris Choy, Jennifer So-Kuen Chan
2015	—	`ch.`	Assessing Sectoral Risk Through Skew-Error Capital Asset Pricing Model: Empirical Evidence from Thai Stock Market. Econometrics of Risk Nuttanan Wichitaksorn, S. T. Boris Choy
2014	—	`conf`	An Innovative Financial Time Series Model: The Geometric Process Model. TES Jennifer So-Kuen Chan, Connie P. Y. Lam, S. T. Boris Choy
2014	—	`conf`	Statistical Analysis of Political Cycles in Australian Stock Market Returns. TES S. T. Boris Choy, Celestine M. Bond
2012	J	`jnl`	A Bayesian conditional autoregressive geometric process model for range data. Comput. Stat. Data Anal. Jennifer So-Kuen Chan, Connie P. Y. Lam, Philip L. H. Yu, S. T. Boris Choy, Cathy W. S. Chen
2011	J	`jnl`	Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures. Comput. Stat. Data Anal. Joanna J. J. Wang, Jennifer So-Kuen Chan, S. T. Boris Choy
2009	J	`jnl`	Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output. Comput. Stat. Data Anal. Jennifer So-Kuen Chan, Doris Y. P. Leung, S. T. Boris Choy, Wai-Yin Wan
2004	J	`jnl`	Optimal Bayesian sampling acceptance plan with random censoring. Eur. J. Oper. Res. Jianwei Chen, S. T. Boris Choy, Kim-Hung Li