Dr Bo Wang

I am an Associate Professor in Statistics at the University of Leicester. I obtained my PhD in Applied Mathematics from Shandong University of China in 2000 and then worked in various institutions including IRISA (Rennes, France), University of Glasgow, Newcastle University and University of York before joining University of Leicester in 2011. My research interests include functional and longitudinal data analysis, Gaussian process modelling, mortality modelling and forecasting, and computational methods to likelihood and Bayesian statistical inference. I am the programme lead for Mathematics of the Leicester International Institute, Dalian University of Technology.

My research interests include: Functional and longitudinal data analysis, Gaussian process modelling, Mortality modelling and forecasting, Computational methods to likelihood and Bayesian statistical inference.

Selected recent publications:

Ka Kin Lam & Bo Wang. Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches. Journal of Applied Statistics, 2022. DOI: 10.1080/02664763.2022.2104228

Ka Kin Lam and Bo Wang. Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches. Forecasting, 3(1): 207-227, 2021.

Wei Cong, Man-Yao Li, Yang Zou, Jun-Yang Ma, Bo Wang, Zhao-Yang Jiang, Hany M. Elsheikha. Prevalence, genotypes and risk factors for Toxoplasma gondii contamination in marine bivalve shellfish in offshore waters in eastern China. Ecotoxicology and Environmental Safety 213: 112048, 2021.

Ruhao Wu, Bo Wang and Aiping Xu. Functional data clustering using principal curve methods. Communications in Statistics - Theory and Methods, 1-34, January 2021.

Ameliya Dickson, Elise Cooper, Lenu B. Fakae, Bo Wang, K. L. Andrew Chan and  Hany M. Elsheikha. In vitro growth- and encystation-inhibitory efficacies of matcha green tea and epigallocatechin gallate against Acanthameoba castellani. Pathogens, 9(9):763, 2020.

Z. Chen, B. Wang and A. Gorban. Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Computing and Applications 32(8), 3005-3028, 2020.

Hany M. Elsheikha, Ian Wright, Bo Wang, Roland Schaper. Prevalence of feline lungworm Aelurostrongylus abstrusus in England. Veterinary Parasitology: Regional Studies and Reports. Volume 16, April 2019, 100271

R. Wu and B. Wang. Coherent mortality forecasting by the weighted multilevel functional principal component approach. Journal of Applied Statistics 46(10), 1774-1791, 2019.

Bo Wang and Aiping Xu. Gaussian process methods for nonparametric functional regression with mixed predictors. Computational Statistics and Data Analysis 131, 80-90, 2019.

Ruhao Wu and Bo Wang. Gaussian process regression method for forecasting of mortality rates. Neurocomputing 316, 232-239, 2018.

Zhang N-Z, Gao Q, Wang M, Elsheikha HM, Wang B, Wang J-L, Zhang F-K, Hu L-Y and Zhu X-Q (2018). Immunization With a DNA Vaccine Cocktail Encoding TgPF, TgROP16, TgROP18, TgMIC6, and TgCDPK3 Genes Protects Mice Against Chronic Toxoplasmosis. Front. Immunol. 9:1505. doi: 10.3389/fimmu.2018.01505.

See Google Scholar for more publications.

Current research students: Hongri Cong, Andreas Michail.

Previous research students: Ruhao Wu (completed in August 2016), Zexun Chen (jointly with Prof A. Gorban completed in June 2017), Kurdistan Omar (completed in June 2019), Ka Kin Lam (completed in April 2021), Pattharaporn Thongnim (completed in October 2022), Ting Wei (completed in October 2022).

I welcome enquiries from potential students who are interested in doing PhD in developing statistical methodology and applications. The PhD projects include statistical modelling for complex data such as functional data, longitudinal and/or high-dimensional data, and applications in the fields of medicine, finance and mortality etc. Please feel free to contact me if you are interested.

Teaching in 2021-2022 academic year: MA2401/MA7401 Actuarial Modelling 1, MA2405/MA7405 Actuarial Modelling 2, MA2510 Investigations in Mathematics, MA7511 Financial Mathematics (DL), MA7515 Contingencies (DL).

Teaching in 2022-2023 academic year: MA2401/MA7401 Actuarial Modelling 1, MA2405/MA7405 Actuarial Modelling 2, MA2510 Investigations in Mathematics.