ABOUT ME
I am a Ph.D candidate in statistics at University of Toronto, advised by Daniel M. Roy and Jeffrey S. Rosenthal.
I also spent Spring 2017 at UC Berkeley as a visiting student researcher.
Before coming to Toronto, I got my B.Eng from Tsinghua University, D.Eng from Chinese Academy of Sciences, both in electrical engineering, and later my M.Sc. in applied mathematics from Queen's University in Kingston, advised by Fady Alajaji and Glen Takahara.
I am grateful to be partly supported by Alexander Graham Bell Canada Graduate Scholarship (CGS D).
RESEARCH
I am currently interested in Bayesian inference, statistical learning, computational statistics, non-stationary time series analysis.
Recent work:
- Asymptotic Spectral Theory for Locally Stationary Time Series
(with Zhou Zhou)
in preparation.
- A Bayesian Decision-Theoretic Analysis of Bayesian Inference under Model Misspecification
(with Daniel M. Roy)
to be submitted.
- Linear Programming Bounds on the Union Probability
Jun Yang, Fady Alajaji, and Glen Takahara
to be submitted.
- On Bounding the Union Probability using Partial Weighted Information
Jun Yang, Fady Alajaji, and Glen Takahara
Statistics and Probability Letters 116, 38–44, 2016.
| arXiv:1506.08331
- Lower Bounds on the Probability of a Finite Union of Events
Jun Yang, Fady Alajaji, and Glen Takahara
SIAM Journal on Discrete Mathematics 30 (3), 1437–1452, 2016.
| PDF
Link to the full list of preprints and publications.
