Research

Papers

1. Deng, Hang (2020). “Slightly conservative bootstrap for maxima of sums”. Submitted. [arXiv]

2. Deng, Hang, Qiyang Han, and Bodhisattva Sen (2020). “Inference for local parameters in convexity constrained models”. Submitted. Available at [arXiv].

3. Deng, Hang, Qiyang Han, and Cun-Hui Zhang (2020). “Confidence intervals for multiple isotonic regression and other monotone models”. Accepted by Annals of Statistics, to appear. Available at [arXiv].

4. Deng, Hang, and Cun-Hui Zhang. “Isotonic regression in multi-dimensional spaces and graphs”. Annals of Statistics. Available at [AoS] or [arXiv].

5. Deng, Hang, and Cun-Hui Zhang (2020). “Beyond Gaussian approximation: Bootstrap for maxima of sums of independent random vectors”. Annals of Statistics. Available at [AoS] or [arXiv].

6. Abdulla, G. M., H. Deng, B. Soper, J. Nagrad, and M. Nygard. “Filling the gaps: using a static data source to create a rich temporal dataset”. No. LLNL-CONF-752118. Lawrence Livermore National Lab.(LLNL), Livermore, CA, (2018).

Selected Talks

• Contributed Talk. JSM, online, “Confidence Intervals for Multiple Isotonic Regression and Other Monotone Models”, August 2020

• Invited Talk. JSM, Denver, CO, “Isotonic Regression in Multi-Dimensional Spaces and Graphs”, July 2019

• Invited Talk. International Workshop on Perspectives on High dimensional Data Analysis, Uppsala, Sweden. “Beyond Gaussian Approximation: Bootstrap for Maxima of Sums of Independent Random Vectors”, June 2019

• PhD Student Talk. Statistical Inference for Structured High-dimensional Models Workshop, MFO, Germany, “Beyond Gaussian Approximation: Bootstrap for Maxima of Sums of Independent Random Vectors”, March 2018

• Seminar Talk. Lawrence Livermore National Lab, Livermore, CA, ”Feature Extraction from Patients Surveys to Facilitate Learning from Cervical Screening Data”, Sept. 2017