Professor Baibing Li BSc, Yunnan; MSc, Vrije Brussel; PhD, Shanghai Jiaotong
Professor of Business Statistics and Management Science
Academic Director, MSc (Full-time) Programmes
Baibing Li’s current research interests focus on statistical modelling and analysis for complex problems in a wide range of management science area. This includes discrete choice analysis, financial market analysis, Internet retailing, human resources management, stochastic frontier analysis, performance measuring and monitoring, etc. Problems in various business and management scenarios often exhibit complex features characterized by a large set of variables which are usually dynamic, nonlinear, and non-Gaussian. To address these challenging research issues, Baibing incorporates a statistical approach (in particular a Bayesian statistical approach) to modelling, analysis and forecasting.
In recent years much of his work has also involved transport/traffic control and management such as transportation demand analysis, travel behaviour modelling, and intelligent transportation systems. In this area Baibing mainly focuses on the development of new methodologies on traffic measuring and transport management. He incorporates a Bayesian approach to pooling the current measurements with prior information about travel-related parameters so that the transport/traffic planning, surveillance, decision, and control are undertaken on a more solid basis. So far he has published seven research papers in Transportation Research Part B (Methodological) and two papers in Technometrics on these topics.
Baibing is currently a member of editorial advisory board of Transportation Research Part B (Methodological). In addition, he reviews for a number of journals in the aforementioned research fields.
Baibing is a co-investigator of an EPSRC funded research project (£1,006K, 2012-2016), Towards More Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty. This research aims to address situational awareness and decision making under uncertain traffic environments for intelligent autonomous vehicles. Baibing is responsible for investigating Bayesian reasoning and learning under uncertainty.
Baibing enjoys supervising his PhD students whose research topics span a wide range of business and management problems such as stochastic frontier analysis for economic growth, traffic flow modelling, and financial market analysis and decision-making.
Baibing is currently Academic Director of the School of Business and Economics’ MSc programmes in Management. He is responsible for all academic issues for MSc Finance & Management, MSc Marketing & Management, MSc Business Analysis & Management, MSc Management, and MSc International Management programmes.
Baibing joined Loughborough University as Lecturer in Business Statistics in October 2004, having previously been Lecturer in Statistics in the School of Mathematics and Statistics at Newcastle University.
Baibing has published over 35 journal articles in a wide range of outlets. His recent representative publications include:
 Li, B. ''Recursive Estimation of Average Vehicle Time Headway Using Single Inductive Loop Detector Data''. Transportation Research Part B, 46, 2012, pp 85-99.
 Li, B. and Yin, X., ''Capital Asset Pricing with Asymmetric Information''. The European Journal of Finance, 17, 2011, pp 505-523.
 Li, B. and Tang, F.-F., ''Online Pricing Dynamics in Internet Retailing: The Case of the DVD Market''. Electronic Commerce Research & Applications, 10, 2011, pp 227-235.
 Li, B., ''The Multinomial Logit Model Revisited: A Semiparametric Approach in Discrete Choice Analysis''. Transportation Research Part B, 45, 2011, pp 461-473.
 Mellahi, K., Budhwar, P. and Li, B., ''A study of the Relationship between Exit, Voice, Loyalty and Neglect and Commitment in India''. Human Relations, 63, 2010, pp 349-369.
 Li, B., ''Bayesian Inference for Vehicle Speed and Vehicle Length Using Dual-Loop Detector Data'', Transportation Research Part B, 44, 2010, pp 108-119.
 Li, B., ''A Non-Gaussian Kalman Filter With Application to the Estimation of Vehicular Speed'', Technometrics, 51, 2009, pp 162-172.
 Li, B., ''Markov Models for Bayesian Analysis about Transit Route Origin-Destination Matrices'', Transportation Research Part B, 43, 2009, pp 301-310.
 Li, B., ''On the Recursive Estimation of Vehicular Speed Using Data from a Single Inductance Loop Detector: A Bayesian Approach'', Transportation Research Part B, 43, 2009, pp 391-402.
 Li, B., ''A New Approach to Cluster Analysis: The Clustering-Function-Based Method'', Journal of the Royal Statistical Society Series B, 68, 2006, pp 457-476.
 Li, B., ''Sign Eigenanalysis and its Applications to Optimization Problems and Robust Statistics'', Computational Statistics and Data Analysis, 50, 2006, pp154-162.
 Li, B., ''Bayesian Inference for Origin-Destination Matrices of Transport Networks Using the EM Algorithm'', Technometrics, 47, 2005, pp 399-408.