Projects per year
Personal profile
Research Expertise
Bayesian theory, statistical calculations
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Tsai-Hung Fan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 10 Finished
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Bayesian Reliability Analysis of Degradation Data of Lithium-Ion Battery(3/3)
1/08/22 → 31/07/23
Project: Research
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Bayesian Reliability Analysis of Degradation Data of Lithium-Ion Battery(2/3)
1/08/21 → 31/07/22
Project: Research
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Bayesian Reliability Analysis of Degradation Data of Lithium-Ion Battery(1/3)
1/08/20 → 31/07/21
Project: Research
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Change Point Estimation and Detection in Hidden Markov Models(2/2)
1/08/18 → 31/07/19
Project: Research
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The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation
Peng, C. Y., Dong, Y. S. & Fan, T. H., Jun 2023, In: Statistics and Computing. 33, 3, 59.Research output: Contribution to journal › Article › peer-review
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Bayesian model selection for structural equation models for myopia data
Fan, T. H. & Wang, Y. F., 2022, (Accepted/In press) In: Communications in Statistics - Simulation and Computation.Research output: Contribution to journal › Article › peer-review
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Public opinion concerning governments' response to the COVID-19 pandemic
Chen, C. W. S. & Fan, T. H., Mar 2022, In: PLoS ONE. 17, 3 March, e0260062.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Comparison of optimal accelerated life tests with competing risks model under exponential distribution
Fan, T. H. & Wang, Y. F., Apr 2021, In: Quality and Reliability Engineering International. 37, 3, p. 902-919 18 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Likelihood-based inference for a frailty-copula model based on competing risks failure time data
Wang, Y. C., Emura, T., Fan, T. H., Lo, S. M. S. & Wilke, R. A., 1 Jul 2020, In: Quality and Reliability Engineering International. 36, 5, p. 1622-1638 17 p.Research output: Contribution to journal › Article › peer-review
21 Scopus citations