Tao Wang
Personal Details
First Name: | Tao |
Middle Name: | |
Last Name: | Wang |
Suffix: | |
RePEc Short-ID: | pwa1092 |
[This author has chosen not to make the email address public] | |
Affiliation
Department of Economics
University of Victoria
Victoria, Canadahttps://www.uvic.ca/socialsciences/economics/
RePEc:edi:devicca (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Semiparametric Partially Linear Varying Coefficient Modal Regression,"
Working Papers
202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19,"
Working Papers
202207, University of California at Riverside, Department of Economics.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
- Aman Ullah & Tao Wang & Weixin Yao, 2020.
"Modal Regression for Fixed Effects Panel Data,"
Working Papers
202102, University of California at Riverside, Department of Economics, revised Nov 2020.
- Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
Articles
- Tao Wang, 2024. "Nonlinear kernel mode‐based regression for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(2), pages 189-213, March.
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023.
"Semiparametric partially linear varying coefficient modal regression,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear modal regression for dependent data with application for predicting COVID‐19,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.
- Tao Wang, 2022. "Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1819-1821, October.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Semiparametric Partially Linear Varying Coefficient Modal Regression,"
Working Papers
202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023. "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
Cited by:
- Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19,"
Working Papers
202207, University of California at Riverside, Department of Economics.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
Cited by:
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023.
"Semiparametric partially linear varying coefficient modal regression,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Tao Wang, 2022. "Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1819-1821, October.
- Aman Ullah & Tao Wang & Weixin Yao, 2020.
"Modal Regression for Fixed Effects Panel Data,"
Working Papers
202102, University of California at Riverside, Department of Economics, revised Nov 2020.
- Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
Cited by:
- Xin Jing & Jin Seo Cho, 2023. "Forecasting the Confirmed COVID-19 Cases Using Modal Regression," Working papers 2023rwp-217, Yonsei University, Yonsei Economics Research Institute.
- Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023.
"Semiparametric partially linear varying coefficient modal regression,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
- Smith, Lisa C. & Frankenberger, Timothy R., 2022. "Recovering from severe drought in the drylands of Ethiopia: Impact of Comprehensive Resilience Programming," World Development, Elsevier, vol. 156(C).
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19,"
Working Papers
202207, University of California at Riverside, Department of Economics.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear modal regression for dependent data with application for predicting COVID‐19," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
Articles
- Ullah, Aman & Wang, Tao & Yao, Weixin, 2023.
"Semiparametric partially linear varying coefficient modal regression,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1001-1026.
See citations under working paper version above.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers 202215, University of California at Riverside, Department of Economics, revised Jun 2022.
- Aman Ullah & Tao Wang & Weixin Yao, 2022.
"Nonlinear modal regression for dependent data with application for predicting COVID‐19,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1424-1453, July.
See citations under working paper version above.Sorry, no citations of articles recorded.
- Aman Ullah & Tao Wang & Weixin Yao, 2022. "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers 202207, University of California at Riverside, Department of Economics.
More information
Research fields, statistics, top rankings, if available.Statistics
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (3) 2021-01-11 2022-02-28 2022-10-03. Author is listed
- NEP-ORE: Operations Research (2) 2021-01-11 2022-02-28. Author is listed
- NEP-FOR: Forecasting (1) 2022-10-03. Author is listed
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