Hongsheng Dai
Hongsheng Dai
Department of Mathematical Sciences, University of Essex
Verified email at essex.ac.uk - Homepage
TitleCited byYear
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
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
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
Exact Monte Carlo simulation for fork-join networks
H Dai
Advances in Applied Probability 43 (2), 484-503, 2011
Accelerated failure time models for censored survival data under referral bias
H Wang, H Dai, B Fu
Biostatistics, 2012
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
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
Perfect sampling methods for random forests
H Dai
Advances in Applied Probability 40 (3), 897-917, 2008
Analysis for Time-to-Event Data under Censoring and Truncation
H Dai, H Wang
Academic Press, 2016
Exact simulation for diffusion bridges: an adaptive approach
H Dai
Journal of Applied Probability 51 (2), 346-358, 2014
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
Unbiased Estimation for Linear Regression When n< v
S Aldahmani, H Dai
International Journal of Statistics and Probability 4 (3), 2015
Exact simulation for fork-join networks with heterogeneous service
H Dai
International Journal of Statistics and Probability 4 (1), 19-32, 2015
Multidimensional Sticky Brownian Motions: Tail Behaviour of the Joint Stationary Distribution
H Dai, YQ Zhao
arXiv preprint arXiv:1901.07529, 2019
Monte Carlo Fusion
H Dai, M Pollock, G Roberts
arXiv preprint arXiv:1901.00139, 2019
Bayesian analysis for mixtures of discrete distributions with a non-parametric component
BB Alhaji, H Dai, Y Hayashi, V Vinciotti, A Harrison, B Lausen
Journal of Applied Statistics 43 (8), 1369-1385, 2016
Modelling survival events with longitudinal covariates measured with error
H Dai, J Pan, Y Bao
Communications in Statistics-Theory and Methods 42 (21), 3819-3837, 2013
A joint modelling approach for clustered recurrent events and death events
Y Bao, H Dai, T Wang, SK Chuang
Journal of Applied Statistics 40 (1), 123-140, 2013
Joint longitudinal and survival-cure models with constrained parameters in tumour xenograft experiments
Y Bao, J Pan, H Dai, HB Fang
Manchester Institute for Mathematical Sciences, University of Manchester, 2009
Mean Empirical Likelihood
W Liang, H Dai, S He
Computational Statistics & Data Analysis 138, 155-169, 2019
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