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Items where Author is "Dai, Hongsheng"

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Number of items: 35.

Article

You, Na and Xueyi, He and Dai, Hongsheng and Xueqin, Wang (2023) Ball divergence for the equality test of crossing survival curves. Statistics in Medicine, 42 (29). pp. 5353-5368. DOI https://doi.org/10.1002/sim.9914

Yang, Yihe and Dai, Hongsheng and Pan, Jianxin (2023) Block-diagonal precision matrix regularization for ultrahigh dimensional data. Computational Statistics and Data Analysis, 179. p. 107630. DOI https://doi.org/10.1016/j.csda.2022.107630

Dai, Hongsheng and Pollock, Murray and Roberts, Gareth (2023) Bayesian Fusion: Scalable unification of distributed statistical analyses. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85 (1). pp. 84-107. DOI https://doi.org/10.1093/jrsssb/qkac007

Liang, Wei and Hu, Jie and Dai, Hongsheng and Bao, Yanchun (2022) Efficient Empirical Likelihood Inference for recovery rate of COVID-19 under Double-Censoring. Journal of Statistical Planning and Inference, 221. pp. 172-187. DOI https://doi.org/10.1016/j.jspi.2022.04.005

Yang, Xinan and Chitsuphaphan, Thanet and Dai, Hongsheng and Meng, Fanlin (2022) EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply. World Electric Vehicle Journal, 13 (7). p. 122. DOI https://doi.org/10.3390/wevj13070122

Liang, Wei and Dai, Hongsheng and Restaino, Marialuisa (2022) Truncation data analysis for the under-reporting probability in COVID-19 pandemic. Journal of Nonparametric Statistics, 34 (3). pp. 607-627. DOI https://doi.org/10.1080/10485252.2021.1989426

Osuntoki, Itunu G and Harrison, Andrew and Dai, Hongsheng and Bao, Yanchun and Zabet, Nicolae Radu (2022) ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data. Bioinformatics, 38 (14). btac387-btac387. DOI https://doi.org/10.1093/bioinformatics/btac387

Chathoth, Keerthi and Mikheeva, Liudmila and Crevel, Gilles and Wolfe, Jareth and Hunter, Ioni and Beckett-Doyle, Saskia and Cotterill, Sue and Dai, Hongsheng and Harrison, Andrew and Zabet, Nicolae (2022) The role of Insulators and transcription in 3D chromatin organisation of flies. Genome Research, 32 (4). pp. 682-698. DOI https://doi.org/10.1101/gr.275809.121 (In Press)

Hu, Shenggang and Alshehabi Al-Ani, Jabir and Hughes, Karen D and Denier, Nicole and Konnikov, Alla and Ding, Lei and Xie, Jinhan and Hu, Yang and Tarafdar, Monideepa and Jiang, Bei and Kong, Linglong and Dai, Hongsheng (2022) Balancing Gender Bias in Job Advertisements with Text-Level Bias Mitigation. Frontiers in Big Data, 5. 805713-. DOI https://doi.org/10.3389/fdata.2022.805713

Smith, Quentin M and Inchingolo, Alessio V and Mihailescu, Madalina-Daniela and Dai, Hongsheng and Kad, Neil M (2021) Single molecule imaging reveals the concerted release of myosin from regulated thin filaments. eLife, 2021 (10). e69184-. DOI https://doi.org/10.7554/eLife.69184

Ma, Chuoxin and Dai, Hongsheng and Pan, Jianxin (2021) Modeling past event feedback through biomarker dynamics in the multi-state event analysis for cardiovascular disease data. Annals of Applied Statistics, 15 (3). pp. 1308-1328. DOI https://doi.org/10.1214/21-AOAS1445

Liang, Wei and Dai, Hongsheng (2021) Empirical Likelihood Based on Synthetic Right Censored Data. Statistics and Probability Letters, 169. p. 108962. DOI https://doi.org/10.1016/j.spl.2020.108962

Liang, Wei and Dai, Hongsheng and He, Shuyuan (2019) Mean Empirical Likelihood. Computational Statistics and Data Analysis, 138. pp. 155-169. DOI https://doi.org/10.1016/j.csda.2019.04.007

Aldahmani, Saeed and Dai, Hongsheng and Zhang, Qiao-Zhen (2019) Hybrid Graphical Least Square Estimation and its application in Portfolio Selection. Statistics and Its Interface, 12 (4). pp. 631-645. DOI https://doi.org/10.4310/SII.2019.v12.n4.a11

Dai, Hongsheng and Pollock, Murray and Roberts, Gareth (2019) Monte Carlo Fusion. Journal of Applied Probability, 56 (1). pp. 174-191. DOI https://doi.org/10.1017/jpr.2019.12

Zhang, Qiao-Zhen and Dai, Hongsheng and Liu, Min-Qian and Wang, Ya (2019) A method for augmenting supersaturated designs. Journal of Statistical Planning and Inference, 199. pp. 207-218. DOI https://doi.org/10.1016/j.jspi.2018.06.006

Dai, Hongsheng and Pan, Jianxin (2018) Joint modelling of survival and longitudinal data with informative observation times. Scandinavian Journal of Statistics: theory and applications, 45 (3). pp. 571-589. DOI https://doi.org/10.1111/sjos.12314

Sampid, Marius and Hasim, Haslifah M and Dai, Hongsheng (2018) Refining value-at-risk estimates using a Bayesian Markov-switching GJR-GARCH copula-EVT model. PLoS ONE, 13 (6). e0198753-e0198753. DOI https://doi.org/10.1371/journal.pone.0198753

Zhang, Qiaozhen and Dai, Hongsheng and Fu, Bo (2016) A proportional hazards model for time-to-event data with epidemiological bias. Journal of Multivariate Analysis, 152. pp. 224-236. DOI https://doi.org/10.1016/j.jmva.2016.08.003

Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Bayesian analysis for mixtures of discrete distributions with a non-parametric component. Journal of Applied Statistics, 43 (8). pp. 1369-1385. DOI https://doi.org/10.1080/02664763.2015.1100594

Aldahmani, Saeed and Dai, Hongsheng (2015) Unbiased Estimation for Linear Regression When n < v. International Journal of Statistics and Probability, 4 (3). DOI https://doi.org/10.5539/ijsp.v4n3p61

Pan, Jianxin and Bao, Yanchun and Dai, Hongsheng and Fang, Hong-Bin (2014) Joint longitudinal and survival-cure models in tumour xenograft experiments. Statistics in Medicine, 33 (18). pp. 3229-3240. DOI https://doi.org/10.1002/sim.6175

Dai, Hongsheng (2014) Exact Simulation for Diffusion Bridges: An Adaptive Approach. Journal of Applied Probability, 51 (2). pp. 346-358. DOI https://doi.org/10.1239/jap/1402578629

He, Shuping and Park, Ju H and Shen, Hao and Wu, Zhengguang and Dai, Hongsheng (2014) Stochastic Systems: Modeling, Optimization, and Applications. Mathematical Problems in Engineering, 2014. pp. 1-3. DOI https://doi.org/10.1155/2014/713969

Dai, Hongsheng and Pan, Jianxin and Bao, Yanchun (2013) Modelling Survival Events with Longitudinal Covariates Measured with Error. Communications in Statistics - Theory and Methods, 42 (21). pp. 3819-3837. DOI https://doi.org/10.1080/03610926.2011.624243

Dai, Hongsheng and Bao, Yanchun and Bao, Mingtang (2013) Maximum likelihood estimate for the dispersion parameter of the negative binomial distribution. Statistics &amp; Probability Letters, 83 (1). pp. 21-27. DOI https://doi.org/10.1016/j.spl.2012.08.017

Bao, Yanchun and Dai, Hongsheng and Wang, Tao and Chuang, Sung-Kiang (2013) A joint modelling approach for clustered recurrent events and death events. Journal of Applied Statistics, 40 (1). pp. 123-140. DOI https://doi.org/10.1080/02664763.2012.735225

Dai, Hongsheng and Fu, Bo (2012) A polar coordinate transformation for estimating bivariate survival functions with randomly censored and truncated data. Journal of Statistical Planning and Inference, 142 (1). pp. 248-262. DOI https://doi.org/10.1016/j.jspi.2011.07.013

Dai, Hongsheng (2011) Exact Monte Carlo simulation for fork-join networks. Advances in Applied Probability, 43 (2). pp. 484-503. DOI https://doi.org/10.1239/aap/1308662489

Dai, Hongsheng and Bao, Yanchun (2009) An inverse probability weighted estimator for the bivariate distribution function under right censoring. Statistics &amp; Probability Letters, 79 (16). pp. 1789-1797. DOI https://doi.org/10.1016/j.spl.2009.05.010

Dai, Hongsheng (2008) Perfect sampling methods for random forests. Advances in Applied Probability, 40 (3). pp. 897-917. DOI https://doi.org/10.1239/aap/1222868191

Book Section

Dai, Hongsheng (2019) A review on the exact Monte Carlo simulation. In: Bayesian Inference [Working Title]. IntechOpen. Official URL: http://doi.org/10.5772/intechopen.88619

Monograph

Dai, Hongsheng and Pollock, Murray and Roberts, Gareth (2020) Bayesian Fusion: Scalable unification of distributed statistical analyses. Working Paper. under review. (Submitted)

Conference or Workshop Item

Ding, Lei and Yu, Dengdeng and Xie, Jinhan and Guo, Wenxing and Hu, Shenggang and Liu, Meichen and Kong, Linglong and Dai, Hongsheng and Bao, Yanchun and Jiang, Bei (2022) Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. In: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022-02-22 - 2022-03-01, Vancouver. (In Press)

Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. In: UNSPECIFIED, ? - ?.

This list was generated on Sat May 18 20:26:17 2024 BST.