City Research Online

Items where Author is "Wang, W."

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Number of items: 11.

Article

Liu, D., Liu, X., Fu, F. ORCID: 0000-0002-9176-8159 and Wang, W. (2020). Nondestructive Post-fire Damage Assessment of Structural Steel Members using Leeb Harness method. Fire Technology, doi: 10.1007/s10694-020-00954-6

Meng, H., Jin, G., Jia, G., Wang, W., Zhang, H., Jiang, D., Shi, Z., Liu, T., Sun, T. ORCID: 0000-0003-3861-8933 and Grattan, K. T. V. ORCID: 0000-0003-2250-3832 (2019). Application and research of wireless laser methane sensor in drainage pipeline monitoring. Proceedings of SPIE - The International Society for Optical Engineering, 11340, 113401Q. doi: 10.1117/12.2548125

Xuening, Z., Wang, W., Wang, H. and Haerdle, W. (2019). Network quantile autoregression. Journal of Econometrics, doi: 10.1016/j.jeconom.2019.04.034

Härdle, W.K., Wang, W. and Yu, L. (2016). TENET: Tail-Event driven NETwork risk. Journal of Econometrics, 192(2), pp. 499-513. doi: 10.1016/j.jeconom.2016.02.013

Wang, W., Fan, Y., Härdle, W.K. and Zhu, L. (2016). Single index based CoVaR with very high dimensional covariates. Journal of Business & Economic Statistics, doi: 10.1080/07350015.2016.1180990

Wang, W., Härdle, W.K., Cabrera, B.L. and Okhrin, O. (2016). Localising temperature risk. Journal of the American Statistical Association, 111(516), pp. 1491-1508. doi: 10.1080/01621459.2016.1180985

Book Section

Pratt, A.C. (2013). The Cultural and Creative Industries: new engines for the city? In: Wang, W. (Ed.), Culture: City. (pp. 36-42). Lars Muller Publishers. ISBN 978-3-03778-335-1

Monograph

Chernozhukov, V., Härdle, W.K., Huang, C. and Wang, W. (2018). LASSO-Driven Inference in Time and Space (18/04). London, UK: Department of Economics, City, University of London.

Cui, W., Härdle, W.K. and Wang, W. (2016). Estimation of NAIRU with In ation Expectation Data (16/05). London, UK: Department of Economics, City, Univeristy of London.

Chen, S., Härdle, W.K. and Wang, W. (2016). Inflation Co-movement across Countries in Multi-maturity Term Structure: An Arbitrage-Free Approach (16/06). London, UK: Department of Economics, City, University of London.

Zbonakova, L., Härdle, W.K. and Wang, W. (2016). Time Varying Quantile Lasso (16/07). London, UK: Department of Economics, City, University of London.

This list was generated on Thu Apr 15 06:17:24 2021 UTC.