Research
Here you can find my ongoing and past research, projects, and presentations.
Methodology
Quach, H., Yang, W, and Guo, W. “Adaptive Knot Selection for Refined Functional Sliced Inverse Regression”. 2024. Ongoing
Quach, H., Yang, W, and Guo, W. “Refining Functional Sliced Inverse Regression Using Informed Basis Expansions”. 2024. Manuscript.
Quach, H. and Li, B. “On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses”. Electron. J. Statist. 17 (1) 980 - 1006, 2023. https://doi.org/10.1214/23-EJS2122. Link. supplement
Functional Sliced Inverse Regression via Informed Basis Expansions, 2024 August 4. 2024 Joint Statistical Meeting (Portland, Oregon, USA)
Functional Sliced Inverse Regression via Informed Basis Expansions, 2024 July 17. 2024 ECOSTA (Bejing, China)
Smoothed Functional Sliced Inverse Regression with Applications to the CRIC Study, 2023 August 8. 2023 Joint Statistical Meeting (Toronto, Canada)
On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses, 2022 August 7. 2022 Joint Statistical Meeting (Washington, D.C.)
On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses, 2022 April 4. Fred Hutchison Post-Doc Seminar (Remote)
Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses, 2021 June 10. Statistical Society of Canada, Annual Conference (Remote)
Generalized Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses, 2021 March 5. Stochastic Modelling And Computing Seminar (Penn State)
Accurate Confidence Intervals for Clustered Data and Small Samples, 2017. The Annual Statistical Society of Canada Conference. Meeting (Winnipeg, Canada). (Talk; Masters Work) (Was not able to attend)
An Investigation of Composite Likelihood and Indirect Inference, 2016 The 4th Annual Statistical Society of Canada Student Conference. Meeting (St. Catherines, Canada). (Poster; Masters Work)