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.

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 and Bo Wang. Random Cohort Effects and Smoothness Structure for Mortality Modelling and Forecasting: A Mixed-Effects Gaussian Process Time-series Approach. Communications in Statistics - Theory and Methods, 54(14), 4452–4476, 2024.

Cong H, Wang B, Wang Z. A Novel Gaussian Process Surrogate Model with Expected Prediction Error for Optimization under Constraints. Mathematics. 2024; 12(7):1115. 

Wei, T.; Wang, B. A Novel Curve Clustering Method for Functional Data: Applications to COVID-19 and Financial Data. Analytics 2023, 2, 781-808. 

Ka Kin Lam and Bo Wang. Multipopulation mortality modelling and forecasting: The weighted multivariate functional principal component approaches. Journal of Applied Statistics, 50(15), 3177-3198, 2023. 

Shelan Saied Ismaeel, Kurdistan M. Taher Omar and Bo Wang. K-Nearest Neighbor method with principal component analysis for functional nonparametric regression. Baghdad Science Journal, 19(6): 1612-1617, 2022

Ruhao Wu, Bo Wang and Aiping Xu. Functional data clustering using principal curve methods. Communications in Statistics – Theory and Methods, 51:20, 7264-7283, 2022.

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.

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.

See Google Scholar for more publications.

Current research students: Andreas Michail, Cindy Sun, Ruiwen Cao.

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), Hongri Cong (completed in March 2024).

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 2025-2026 academic year: MA2401/MA7401 Actuarial Modelling 1, MA3022 Data Mining and Neural Networks (DLI)