| Monte carlo fusion H Dai, M Pollock, G Roberts Journal of Applied Probability 56 (1), 174-191, 2019 | 30 | 2019 |
| Maximum likelihood estimate for the dispersion parameter of the negative binomial distribution H Dai, Y Bao, M Bao Statistics & Probability Letters 83 (1), 21-27, 2013 | 22 | 2013 |
| The role of insulators and transcription in 3D chromatin organization of flies KT Chathoth, LA Mikheeva, G Crevel, JC Wolfe, I Hunter, S Beckett-Doyle, ... Genome research 32 (4), 682-698, 2022 | 18 | 2022 |
| Mean empirical likelihood W Liang, H Dai, S He Computational statistics & data analysis 138, 155-169, 2019 | 18 | 2019 |
| In vitro suppression of drug‐induced methaemoglobin formation by Intralipid® in whole human blood: observations relevant to the ‘lipid sink theory’* TL Samuels, JW Willers, DR Uncles, R Monteiro, C Halloran, H Dai Anaesthesia, 2012 | 18 | 2012 |
| Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022 | 17 | 2022 |
| Joint modelling of survival and longitudinal data with informative observation times H Dai, J Pan Scandinavian Journal of Statistics 45 (3), 571-589, 2018 | 14 | 2018 |
| Exact Monte Carlo simulation for fork-join networks H Dai Advances in Applied Probability 43 (2), 484-503, 2011 | 13 | 2011 |
| Accelerated failure time models for censored survival data under referral bias H Wang, H Dai, B Fu Biostatistics, 2012 | 12 | 2012 |
| Joint longitudinal and survival‐cure models in tumour xenograft experiments J Pan, Y Bao, H Dai, HB Fang Statistics in medicine 33 (18), 3229-3240, 2014 | 11 | 2014 |
| A polar coordinate transformation for estimating bivariate survival functions with randomly censored and truncated data H Dai, B Fu Journal of statistical planning and inference 142 (1), 248-262, 2012 | 11 | 2012 |
| An inverse probability weighted estimator for the bivariate distribution function under right censoring H Dai, Y Bao Statistics & probability letters 79 (16), 1789-1797, 2009 | 11 | 2009 |
| Perfect sampling methods for random forests H Dai Advances in Applied Probability 40 (3), 897-917, 2008 | 11 | 2008 |
| Electrical peak demand forecasting-A review S Dai, F Meng, H Dai, Q Wang, X Chen arXiv preprint arXiv:2108.01393, 2021 | 9 | 2021 |
| Analysis for Time-to-Event Data under Censoring and Truncation H Dai, H Wang Academic Press, 2016 | 9 | 2016 |
| Bayesian Fusion: Scalable unification of distributed statistical analyses H Dai, M Pollock, GO Roberts Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 8 | 2023 |
| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 805713, 2022 | 8 | 2022 |
| A class of nonparametric bivariate survival function estimators for randomly censored and truncated data H Dai, M Restaino, H Wang Journal of Nonparametric Statistics 28 (4), 736-751, 2016 | 8 | 2016 |
| Unbiased estimation for linear regression when n< v S Aldahmani, H Dai International Journal of Statistics and Probability 4 (3), 2015 | 6 | 2015 |
| A review on the exact Monte Carlo simulation H Dai Bayesian Inference on Complicated Data, 2019 | 5 | 2019 |
