Professor Hongsheng Dai
| Robust inference for the unification of confidence intervals in meta-analysis | 2025 |
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Professor Hongsheng Dai
| Bernoulli factory: The 2𝚙-coin problem | 2024 |
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Professor Hongsheng Dai
| Sequential Estimation for Mixture of Regression Models for Heterogeneous Population | 2024 |
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Professor Hongsheng Dai
| Tracking Full Posterior in Online Bayesian Classification Learning: A Particle Filter Approach | 2024 |
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Professor Hongsheng Dai
| Ball divergence for the equality test of crossing survival curves | 2023 |
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Professor Hongsheng Dai
Professor Murray Pollock
| Bayesian fusion: Scalable unification of distributed statistical analyses | 2023 |
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Professor Hongsheng Dai
| Block-diagonal precision matrix regularization for ultra-high dimensional data | 2023 |
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Professor Hongsheng Dai
| Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation | 2022 |
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Professor Hongsheng Dai
| Efficient empirical likelihood inference for recovery rate of COVID19 under double-censoring | 2022 |
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Professor Hongsheng Dai
| The role of insulators and transcription in 3D chromatin organization of flies | 2022 |
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Professor Hongsheng Dai
| Truncation data analysis for the under-reporting probability in COVID-19 pandemic | 2022 |
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Professor Hongsheng Dai
| ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data | 2022 |
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Professor Hongsheng Dai
| Empirical likelihood based on synthetic right censored data | 2021 |
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Professor Hongsheng Dai
| Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data | 2021 |
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Professor Hongsheng Dai
| Single-molecule imaging reveals the concerted release of myosin from regulated thin filaments | 2021 |
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