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Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
Qiao Liu. arXiv, 2026.
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Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
Guyue Luo and Qiao Liu. arXiv, 2026.
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BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
Qiao Liu and Wing Hung Wong. arXiv, 2026.
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A Bayesian Generative Modeling Approach for Arbitrary Conditional Inference
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Qiao Liu and Wing Hung Wong. Journal of the American Statistical Association, 2026.
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An AI-powered Bayesian generative modeling approach for causal inference in observational studies
An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
Qiao Liu, Zhongren Chen, Wing Hung Wong. PNAS, 2024.
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An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies
Density estimation using deep generative neural networks
Qiao Liu, Jiaze Xu, Rui Jiang, Wing Hung Wong. PNAS, 2021.
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Density estimation using deep generative neural networks