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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Empirical likelihood ratio test on quantiles under a density ratio model
Published in Electronic Journal of Statistics, 2021
Archer Gong Zhang, Guangyu Zhu, Jiahua Chen
Download here
Semiparametric inferences under a density ratio model
Published in PhD Dissertation, 2022
Archer Gong Zhang
Download here
Density ratio model with data-adaptive basis function
Published in Journal of Multivariate Analysis, 2022
Archer Gong Zhang, Jiahua Chen
Download here
Optimal Estimation under a Semiparametric Density Ratio Model
Published in arXiv, 2023
Archer Gong Zhang, Jiahua Chen
Download here
Gaussian Mixture Reduction with Composite Transportation Divergence
Published in IEEE Transactions on Information Theory, 2023
Qiong Zhang, Archer Gong Zhang, Jiahua Chen
Download here
Resistant convex clustering: How does the fusion penalty enhance resistance?
Published in arXiv, 2024
Qiang Sun, Archer Gong Zhang, Chenyu Liu, Kean Ming Tan
Download here
A Semiparametric Approach to Causal Inference
Published in arXiv, 2024
Archer Gong Zhang, Nancy Reid, Qiang Sun
Download here
talks
Empirical Likelihood Ratio Test on Quantiles under a Density Ratio Model
Published:
Winner of the General Student Research Presentation Award. Slides available here
teaching
Multiple courses (at both undergraduate and graduate levels) from 2016 to 2021
Teaching Assistant, University of British Columbia, 2016
STAT 302 - Introduction to Probability (Fall 2019, term 2)
Sessional Lecturer, University of British Columbia, 2020
STAD80H3 - Analysis of Big Data (Winter 2023)
Teaching Assistant, University of Toronto, 2023
STA237H1 - Probability, Statistics and Data Analysis I (Fall 2023)
Course Instructor, University of Toronto, 2023
STA237H1 - Probability, Statistics and Data Analysis I (Fall 2024)
Course Instructor, University of Toronto, 2024