Background and academic interests
I obtained a PhD degree in biostatistics at NTNU in 2020. My PhD work was centered around the development of statistical techniques/models to quantify the strength of natural selection and to explore the effects of environmental factors on selection. The study species is called great tit, Kjøttmeis in Norwegian. I devoted my PhD time mostly to statistical modelling with the great tit data, but I’m generally interested in using mathematical and statistical tools to answer scientific questions in bioscience, especially in investigating environmental effects on the ecosystem, from the scale of the population to the community. My research work at CEES will be related to the seasonality of covid-19. I will initially look at the relative contributions of environmental, demographic and socioeconomic factors to the international variation in covid-19 transmission. Then the work can be extended to make long-term transmission predictions using both statistical models and mechanistic models. New research ideas on the project might be developed and any discussions and cooperation are warmly welcome.
Cao, Yihan & Tufto, Jarle (2021). Bayesian inference with tmbstan for a state-spacemodel with VAR(1) state equation. arXiv.org. ISSN 2331-8422.
Cao, Yihan; Visser, Marcel E & Tufto, Jarle (2019). A time-series model for estimating temporal variation in phenotypic selection on laying dates in a Dutch great tit population. Methods in Ecology and Evolution. ISSN 2041-210X. 10(9), p. 1401–1411. doi: 10.1111/2041-210X.13249. Full text in Research Archive
Cao, Yihan (2019). A time‐series model for estimating temporal variation in phenotypic selection on laying dates in a Dutch great tit population.
Cao, Yihan (2018). Predicting salmon weight .
Cao, Yihan (2020). Statistical methods for estimating fluctuating selection. NTNU.