S. T. Boris Choy

26 papers Misc 1Journal 14Unranked 7
YearRankTypeTitle / 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