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Dr Xu Huang

Job: VC2020 Senior Lecturer in Economics

School/department: Leicester Castle Business School

Address: Hugh Aston 4.65

T: +44 (0)116 207 8391

E: xu.huang@dmu.ac.uk

W: http://www.researchgate.net/profile/Xu_Huang7

 

Personal profile

Dr Xu Huang currently serves as VC2020 Senior Lecturer in Economics at the Faculty of Business and Law. Prior to her appointment at DMU, she worked as Lecturer in Econometrics and Quantitative Methods at Bournemouth University, UK. She is also a Fellow of the Higher Education Academy. Her research area is mainly about developing novel quantitative methods for multivariate analyses like association measure and causality detection based on an advanced time series analysis technique called Singular Spectrum Analysis. Her research interests are Big Data, multivariate analysis, quantitative method development and causality detection in dynamical complex systems like economics and social science.

Research group affiliations

Institute for Applied Economics and Social Value

Publications and outputs 

  • Hassani, H., Huang, X., and Silva, E. (2019). Fusing Big Data, Blockchain and Cryptocurrency: Their Individual and Combined Importance in the Digital Economy. 1st Edition. Palgrave Macmillan, Springer. 
  • Silva, E. S., Hassani, H., Heravi, S. and Huang, X. (2019). Forecasting tourism demand with denoised neural networks. Annals of Tourism Research, 74, 134-154.
  • Hassani, H., Huang, X. and Silva, E. (2019). Big Data and Climate Change. Big Data and Cognitive Computing, 3(1), 12.
  • Huang, X., Maçaira, P. M., Hassani, H., Oliveira, F. L. C. and Dhesi, G. (2019). Hydrological natural inflow and climate variables: Time and frequency causality analysis. Physica A: Statistical Mechanics and its Applications, 516, 480-495.
  • Huang, X., Silva, E. and Hassani, H. (2018). Causality between Oil Prices and Tourist Arrivals. Stats, 1(1), pp.134-154.
  • Hassani, H., Huang, X. and Silva, E. (2018). Big-Crypto: Big Data, Blockchain and Cryptocurrency. Big Data and Cognitive Computing, 2(4), 34.
  • Hassani, H., Huang, X., & Silva, E. (2018). Banking with blockchain-ed big data. Journal of Management Analytics, 5(4), 256-275.
  • Hassani, H., Huang, X., & Silva, E. (2018). Digitalisation and big data mining in banking. Big Data and Cognitive Computing, 2(3), 18.
  • Hassani, H., Huang, X. and Ghodsi, M. (2017). Big Data and Causality. Annals of Data Science. DOI: 10.1007/s40745-017-0122-3
  • Huang, X., Hassani, H., Ghodsi, M, Mukherjee, Z. and Gupta, R. (2017). Do trend extraction approaches affect causality detection in climate change studies? Physica A: Statistical Mechanics and its Applications, 469, 604-624. Elsevier.
  • Ghodsi, Z., Huang, X. and Hassani, H. (2017). Causality analysis detects the regulatory role of maternal effect genes in the early Drosophila embryo. Genomics Data, 11, 20-38.
  • Hassani, H., Huang, X., Gupta, R. and Ghodsi, M. (2016). Does sunspot numbers cause global temperatures? A reconsideration using non-parametric causality tests. Physica A: Statistical Mechanics and its Applications, 460, 54-65. Elsevier.
  • Hassani, H., Huang, X., Silva, E. and Ghodsi, M. (2016). A review of data mining applications in crime. Statistical Analysis and Data Mining: the ASA Data Science Journal, 9(3), 139-154. Wiley.
  • Huang, X., Ghodsi, M. and Hassani, H. (2016). A Novel similarity measure based on eigenvalue distribution. Transactions of A. Razmadze Mathematical Institute, 170(3), 352-362. Elsevier.
  • Huang, X. and Ghodsi, M. (2016). A novel mutual association measure based on eigenvalue-based criterion. International Journal of Energy and Statistics, 4(04), 1650017.
  • Ghodsi, M. and Huang, X. (2015). Causality between energy poverty and economic growth in Africa: Evidences from time and frequency domain causality test. International Journal of Energy and Statistics, 3(04), 1550020.

Research interests/expertise

Big Data

Multivariate Analysis

Causality Detection

Applied Statistics

Singular Spectrum Analysis

Areas of teaching

Quantitative Methods

Econometrics

Mathematics and Statistics

Qualifications

PhD, Bournemouth University, UK

MSc in International Economics, Banking and Finance, Cardiff University, UK

Courses taught

Econometrics for Economists

Applied Techniques for Economists

Microeconomics and Macroeconomics

Research Methods

Mathematics for Economists

Quantitative Techniques

Basic Statistical Techniques

Honours and awards

2016 International Institute of Forecasters (IIF) Travel Award Grant

2015 Santander University Postgraduate Research Scholarship

2014 Bournemouth University Postgraduate Development Fund Award

2013 Bournemouth University PhD Full Scholarship

Professional licences and certificates

HEA Fellow (since 2016)

Conference attendance

Huang, X. (2019). Multivariate Analysis Advancements in Association Measure and Causality Detection by Subspace Based Techniques. In: 11th International Conference on Mathematical Methods in Reliability (MMR2019), 3-7 June, City University of Hong Kong, Hong Kong. 

Huang, X. (2018). Advancements of multivariate analysis by subspace-based techniques. In: Royal Statistical Society 2018 International Conference, September 3-6, 2018. Cardiff, UK. 

Huang, X. (2017). Causality between oil price and tourist arrivals: evidences from advanced nonparametric causality detection methods. In: 37th International Symposium on Forecasting, June 25-28, 2017. Cairns, Australia.

Huang, X. (2016). Novel Non-Parametric Dynamic Causality Detection Methods. In: 36th International Symposium on Forecasting, 19 – 22 June, 2016 Santander, Spain.

Huang, X. (2016). Causality between Sunspot Number and Global Temperature: Evidences from Novel Non-Parametric Dynamic Causality Detection Methods. In: UK Causal Inference Meeting 2016, 11 – 15 April, London, UK.

Huang, X. (2014). Causality between Alcohol and Crime. In: 34th International Symposium on Forecasting, 29 June – 2 July, 2014 Rotterdam, Netherlands.

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