Yiran Wang
PhD Candidate in Statistics
Department of Statistics and Actuarial Science, University of Waterloo
Biography
I am a fifth-year PhD student in Statistics at the University of Waterloo, supervised by Prof. Audrey Béliveau and Prof. Martin Lysy.
My research is mainly concerned with Bayesian hierarchical modeling and is motivated by applications in a variety of fields. Currently, I am working on capture-recapture methods and population size estimation. Moreover, I am also interested in various topics in Bayesian methods. I am still learning more and more new areas of statistics and biostatistics.
Download my resumé (Updated 2024/4/30).
Interests
- Bayesian Statistics
- Statistical Ecology
- Capture-recapture methods
Education
Ph.D. Statistics, 2023
University of Waterloo
M.S. Statistics, 2019
University of California, Irvine
B.S. Statistics, 2017
Donghua University
Recent Posts
Projects
A new framework for the plant-capture method to estimate population size by incorporating uncertainty in the plants’ assessments and also other factors.
A novel Bayesian Genetic Mark-Recapture Methods for estimating abundance.
Contact
Please feel free to sent message to me here.
- yiran.wang2@uwaterloo.ca
- Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1
- M3 4128