Bo Wang

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Associate Professor in Statistics

Contact details

Office: 130 Michael Atiyah Building

Tel: +44 116 252 2162

Fax: +44 116 252 3915

Personal details

  • PhD in Applied Mathematics (Shandong University, China)
  • MSc in Operational Research and Control Theory (Shandong University, China)
  • BSc in Mathematics (Shandong University, China)

Administration

Websites

Publications

  1. 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.

  2. 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.

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

  4. 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.

  5. 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.

  6. 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

  7. 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.

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

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

  10. 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.
  11. Omar, K. M. T., & Wang, B. (2017). Nonparametric regression method with functional covariates and multivariate response. Communications in Statistics-Theory and Methods, 1-13.
  12. Chen, Z., & Wang, B. (2018). How priors of initial hyperparameters affect Gaussian process regression models. Neurocomputing, 275, 1702-1710.
  13. B. Wang, T. Chen and A. Xu. Gaussian process regression with functional covariates and multivariate response. Chemometrics and Intelligent Laboratory Systems, 163, 1-6, 2017.
  14. O T Kajero, R B Thorpe, Tao Chen, Bo Wang and Yuan Yao. Kriging meta‐model assisted calibration of computational fluid dynamics models. AIChE Journal, 62(12), 4308-4320, 2016.

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    Research

    • Functional and longitudinal data analysis
    • Gaussian process modelling
    • Mortality modelling and forecasting
    • Computational methods to likelihood and Bayesian statistical inference

    Supervision

    Current research students

    • Ka Kin Lam
    • Pattharaporn Thongnim
    • Ting Wei
    • Hongri Cong

      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)

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      Contact details

      Department of Mathematics
      University of Leicester
      University Road
      Leicester LE1 7RH
      United Kingdom

      Tel.: +44 (0)116 229 7407

      Campus Based Courses

      Undergraduate: mathsug@le.ac.uk
      Postgraduate Taught: mathspg@le.ac.uk

      Postgraduate Research: pgrmaths@le.ac.uk

      Distance Learning Course  

      Actuarial Science:

      DL Study

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