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Alumni
Visit Stanford University Libraries to search for the PhD dissertations of our graduates.
Graduation Year
Student
Dissertation
Advisor
Committee Members
Applications of Data Fission: Spatial Estimation and Model-free Selective Inference
Taylor
Switzer, Tibshirani
Topics on Finite-sample Valid Inference and the Finite Population Bootstrap
Candes/Walther
Taylor
Modern Statistical Methodology for Generalizable and Trustworthy Inference
Candes/Rothenhaeusler
Owen
Methods for Causal Inference with Limited or No Overlap
Ugander (MSE)
Owen, Rothenhaeusler
Topics in Data Fusion with Applications to Agriculture
Owen/Lobell (Earth System Science)
Switzer
Super-polynomial Accuracy of Randomized Nets Using the Median-of-means
Owen
Chatterjee, Schramm
Computational and Informational Limits in High-dimensional Statistical Problems
Montanari
Candes, Dembo
Estimation and Testing Methods for Causal Inference with Interference
Imbens (Econ) / Ugander (MSE)
Owen
Learning with Neural Networks in High Dimensions
Montanari
Donoho, Johnstone
On Some Topics in Statistical Learning: Cluster-Aware Lasso & Others
Tibshirani
Hastie, Palacios
Stability of Solutions of Random Optimization Problems Under Small Perturbations
Chatterjee
Dembo, Diaconis
Applications of Cooperative Game Theory to Interpretable Machine Learning
Owen
Palacios, Taylor
Some applications of graph limits in probability and statistics
Chatterjee
Montanari, Dembo
Confident and reliable statistical predictions in changing environments
Duchi
Candes, Liang (CS)
Applications of Machine Learning to Some Statistical Inference Problems
Hastie
Tibshirani, Wager
Scalable Inference for Crossed Random Effects Models
Owen/Hastie
Hastie, Linderman, Athey (GSB)
Reliability and stability in statistical and machine learning problems
Duchi
Candes, Donoho, Rothenhaeusler
Causal and Selective Inference in Complex Statistical Models
Candes/Wager (GSB)
Hastie
Topics in multiple hypothesis testing and robustification of estimators through causal inference methods
Zou (BDS)
Candes, Owen
Phase Transitions of Disordered Systems and High Dimensional Inference
Dembo
Chatterjee, Montanari
Advances in multivariate statistics and its applications
Hastie
Tibshirani, Segal (UCSF)
Applied Statistical Methods for High-Dimensional Generalized Linear Models
Candes
Montanari, Taylor
Mallows permutation model: Sampling algorithms and probabilistic properties
Diaconis
Dembo, Siegmund
Topics in Exact Asymptotics for High-dimensional Regression
Montanari
Candes, Donoho
Advances in Contextual Multi-armed Bandits, Dynamic Treatment Strategies, and Type 1 Error Rate Guarantees in Confirmatory Adaptive Multi-arm Clinical Trials
Lai
Lavori (BDS), Lu (BDS), Palacios
Extending the Reach of the Lasso and Elastic Net Penalties: Methodology and Practice
Tibshirani
Art Owen, Guenther Walther
Statistics and Uncertainty Quantification in Graphs and Networks with Biomedical Applications
Holmes
Friedman, Leskovec (CS)
Topics in Machine Learning for Causal Inference with Applications in Social Science
Athey (Econ)
Owen, Hastie
The Algebra and Machine Representation of Statistical Models
Candes
Hastie, Chambers, Musen (Med/BDS)
Large-scale and High-dimensional Statistical Learning: Methods and Algorithms
Hastie
Tibshirani, Rivas (BDS)