Department of Statistics – Academic Commons Link to Recent Ph.D. Dissertations (2011 – present)

2022 Ph.D. Dissertations

1. 1. 1. Andrew Davison

         Statistical Perspectives on Modern Network Embedding Methods

         Sponsor: Tian Zheng

      2. Nabarun Deb

         Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing

         Sponsor: Bodhisattva Sen / Co-Sponsor: Sumit Mukherjee

      3. Elliot Gordon Rodriguez

         Advances in Machine Learning for Compositional Data

         Sponsor: John Cunningham

      4. Charles Christopher Margossian

         Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling

         Sponsor: Andrew Gelman

      5. Alejandra Quintos Lima

         Dissertation TBA

         Sponsor: Philip Protter

      6. Bridgette Lynn Ratcliffe

         Statistical approach to tagging stellar birth groups in the Milky Way

         Sponsor: Bodhisattva Sen

      7. Chengliang Tang

         Dissertation TBA

         Sponsor: Tian Zheng

      8. Owen Ward

         Latent Variable Models for Events on Social Networks

         Sponsor: Tian Zheng

      9. Shun Xu

         On Recovering the Best Rank-? Approximation from Few Entries

         Sponsor: Ming Yuan

      10. Yuanzhe Xu

          Dissertation TBA

          Sponsor: Sumit Mukherjee

2021 Ph.D. Dissertations

1. 1. 1. Tong Li
         

         On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods

         Sponsor: Liam Paninski

      2. Ding Zhou

         Advances in Statistical Machine Learning Methods for Neural Data Science

         Sponsor: Liam Paninski

      3. Milad Bakhshizadeh

         Phase retrieval in the high-dimensional regime

         Sponsor: Arian Maleki

      4. Chi Wing Chu

         Semiparametric Inference of Censored Data with Time-dependent Covariates

         Sponsor: Zhiliang Ying

      5. Miguel Angel Garrido Garcia

         Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles

         Sponsor: Ioannis Karatzas

      6. Rishabh Dudeja
         

         High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices

         Sponsor: Arian Maleki

      7. Zhi Wang

         Statistical Learning for Process Data

         Sponsor: Jingchen Liu

      8. Yuling Yao
         

         Toward a scalable Bayesian workflow

         Sponsor: Andrew Gelman

2020 Ph.D. Dissertations

1. 1. 1. Jonathan Auerbach

         Some Statistical Models for Prediction

         Sponsor: Shaw-Hwa Lo

      2. Adji Bousso Dieng

         Deep Probabilistic Graphical Modeling

         Sponsor: David Blei

      3. Guanhua Fang

         Latent Variable Models in Measurement: Theory and Application

         Sponsor: Zhiliang Ying

      4. Promit Ghosal

         Time Evolution of the Kardar-Parisi-Zhang Equation

         Sponsor: Ivan Corwin

      5. Lydia Hsu

         Partition-based Model Representation Learning

         Sponsor: Shaw-Hwa Lo

      6. Sihan Huang

         Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates

         Sponsor: Zhiliang Ying

      7. Peter JinHyung Lee

         Spike Sorting for Large-scale Multi-electrode Array Recordings in Primate Retina

         Sponsor: Liam Paninski

      8. Brian Ling

         Statistical Analysis of Complex Data in Survival and Event History Analysis

         Sponsor: Zhiliang Ying

      9. Yixin Wang

         Multiple Causal Inference with Bayesian Factor Models

         Sponsor: David Blei

      10. Wenda Zhou

          New perspectives in cross-validation

          Sponsor: Arian Maleki

          Link to PhD Dissertations on Academic Commons