Measuring firm size in empirical corporate finance C Dang, ZF Li, C Yang Journal of banking & finance 86, 159-176, 2018 | 1021 | 2018 |
On optimal reinsurance treaties in cooperative game under heterogeneous beliefs W Jiang, J Ren, C Yang, H Hong Insurance: Mathematics and Economics 85, 173-184, 2019 | 34 | 2019 |
The ruin time under the Sparre-Andersen dual model C Yang, KP Sendova Insurance: Mathematics and Economics 54, 28-40, 2014 | 24 | 2014 |
Parisian ruin with a threshold dividend strategy under the dual Lévy risk model C Yang, KP Sendova, Z Li Insurance: Mathematics and Economics 90, 135-150, 2020 | 17 | 2020 |
A maximal tail dependence-based clustering procedure for financial time series and its applications in portfolio selection X Liu, J Wu, C Yang, W Jiang Risks 6 (4), 115, 2018 | 9 | 2018 |
Clustering of financial instruments using jump tail dependence coefficient C Yang, W Jiang, J Wu, X Liu, Z Li Statistical Methods & Applications 27, 491-513, 2018 | 9 | 2018 |
Detecting systematic anomalies affecting systems when inputs are stationary time series N Sun, C Yang, R Zitikis Applied Stochastic Models in Business and Industry 38 (3), 512-544, 2022 | 5 | 2022 |
Dividend barrier strategy: Proceed with caution KP Sendova, C Yang, R Zhang Statistics & Probability Letters 137, 157-164, 2018 | 5 | 2018 |
Natural language processing-based detection of systematic anomalies among the narratives of consumer complaints P Gao, N Sun, X Wang, C Yang, R Zitikis Journal of Operational Risk 19 (2), 79-104, 2024 | 4* | 2024 |
A statistical methodology for assessing the maximal strength of tail dependence N Sun, C Yang, R Zitikis ASTIN Bulletin: The Journal of the IAA 50 (3), 799-825, 2020 | 4 | 2020 |
On the Parisian ruin of the dual Lévy risk model C Yang, KP Sendova, Z Li Journal of Applied Probability 54 (4), 1193-1212, 2017 | 4 | 2017 |
Examining annual transitions in healthcare spending among US medicare beneficiaries using multistate Markov models: Analysis of medicare current beneficiary survey data, 2003–2019 L Li, S Zhan, K Mckendrick, C Yang, M Mazumdar, AS Kelley, ... Preventive Medicine Reports 32, 102171, 2023 | 3 | 2023 |
On a perturbed dual risk model with dependence between inter-gain times and gain sizes Z Li, KP Sendova, C Yang Communications in Statistics-Theory and Methods 46 (21), 10507-10517, 2017 | 3 | 2017 |
Propensity score weighting with survey weighted data when outcomes are binary: a simulation study C Yang, MS Cuerden, W Zhang, M Aldridge, L Li Health Services and Outcomes Research Methodology, 2023 | 2 | 2023 |
Tail maximal dependence in bivariate models: Estimation and applications N Sun, C Yang, R Zitikis Mathematical Methods of Statistics 31 (4), 170-196, 2022 | 2 | 2022 |
The discounted moments of the surplus after the last innovation before ruin under the dual risk model C Yang, KP Sendova Stochastic Models 30 (1), 99-124, 2014 | 2 | 2014 |
Prognostic Understanding, Goals of Care, and Quality of Life in Hospitalized Patients with Leukemia or Multiple Myeloma S Shimer, OS Allen, C Yang, M Canavan, S Westvold, N Kim, J Morillo, ... Journal of palliative medicine 27 (7), 879-887, 2024 | 1 | 2024 |
Longitudinal assessment of association between tobacco use and tobacco dependence among adults: Latent class analysis of the population assessment of tobacco and health study … L Li, C Yang, S Zhan, KM Wilson, E Taioli, M Mazumdar, B Liu Nicotine and Tobacco Research 26 (7), 806-815, 2024 | 1 | 2024 |
On the Dual Risk Models C Yang The University of Western Ontario (Canada), 2015 | 1 | 2015 |
Predicting classification errors using NLP-based machine learning algorithms and expert opinions P Gao, C Yang, N Sun, R Zitikis Machine Learning with Applications, 100630, 2025 | | 2025 |