Alumni

Visit Stanford University Libraries to search for the PhD dissertations of our graduates.

Graduation Year
Student
Dissertation
Advisor
Committee Members

Evaluating Diagnostics under Dependency

Tian

Holmes, Siegmund

Leveraging similarity in statistical learning

Tibshirani

Friedman, Hastie

Optimization, Random Graphs, and Spin Glasses

Dembo/Montanari

Chatterjee

Non-parametric goodness-of-fit testing and applications

Diaconis

Chatterjee, Bump (Math)

Topics in selective inference

Taylor

Hastie, Tibshirani

Financial Markets and Trading Networks

Duffie (GSB)

Krishnamurthy, Jackson, Dembo

Supervised Evaluation of Representations

Hastie/Taylor

Efron, Poldrack (Psych)

Quasi-Monte Carlo Methods in Non-Cubical Spaces

Owen

Candes, Chatterjee

Power of Graph-Based Two-Sample Tests

Diaconis

Chatterjee, Holmes, Friedman

Selecting the dimension of a subspace in principal component analysis and canonical correlation analysis

Tibshirani

Taylor, Johnstone

Efficient Permutation P-value Estimation for Gene Set Tests

Owen

Wong, Hastie

Adaptive Particle Filters in Hidden Markov Models: A New Approach and Its Applications

Lai

Wong, Walther

Convergence rates of a class of multivariate density estimators based on adaptive partitioning

Wong

Candes, Siegmund

Post-selection Inference for Models Characterized by Quadratic Constraints

Taylor

Candes, Tibshirani

False Discoveries with Dependence, Towards an Objective Inference

Efron

Taylor, Owen, Johnstone

A general framework for estimation and inference from prototypes of feature clusters

Tibshirani

Hastie, Taylor

Contributions to Fault Detection and Diagnosis with High-Dimensional Data

Lai

Siegmund, Walther

Multiple Testing and Minimax Estimation in Sparse Linear Regression

Candes

Siegmund, Johnstone

Causal Inference with Random Forests

Efron, Walther

Hastie, Liang

Factor Analysis for High Dimensional Data

Owen

Wong, Walther

Topics in Causal and High Dimensional Inference

Hastie

Owen, Tibshirani

Topics in Adaptive Inference

Hastie

Candes, Taylor, Tibshirani

A Selective Approach to Internal Inference

Tibshirani

Holmes, Hastie

Two Projects About Change-point Detection

Siegmund

Walther, Lai

Valid Inference After Data Snooping

Taylor

Walther, Smith (Music/EE)

Probability models on large random graphs and matrices

Dembo

Chatterjee, Montanari

False discovery rate control for spatial data

Candes

Tibshirani, Siegmund

Topics in Matrix Inference

Donoho

Johnstone, Coifman (Yale)

Inference for correlation-based hierarchical clustering of variables

Tibshirani

Hastie, Taylor

Statistical Methods on Graphs

Holmes

Chatterjee, Diaconis

Estimation in exponential families with unknown normalizing constant

Diaconis

Chatterjee, Dembo

Gibbs measures and phase transitions on locally tree-like graphs

Dembo

Chatterjee, Montanari

Approaches for Local False Discovery Rates

Holmes

Tang, Efron, Walther, Tibshirani

Two Graph-Based Tests for High-Dimensional Inference

Zhang, Siegmund

Friedman

Non-Proportional Hazards in Clinical Trials with Failure-Time Endpoints

Lai

Lavori, Mei-Chiung Shih

Adaptive Design of Clinical Trials with Interim Selection of Treatment Arms

Lai

Lavori, Mei-Chiung Shih

The Group-Lasso: Two Novel Applications

Hastie

Taylor, Tibshirani

Detection of Multiple Change-points: Sequential Testing and Model Selection

Siegmund

Walther, Zhang

Multivariate Density Estimation by Bayesian Sequential Partitioning and its Applications

Wong

Walther, Hastie, Owen

Sparsity and Shrinkage in Predictive Density Estimation

Johnstone

Diaconis, Donoho

Topics in Two-Sample Testing

Holmes

Diaconis, Efron, Friedman

Testing and Estimation of Interactions in High Dimensions

Tibshirani

Efron, Friedman, Olshen

Statistical Methods for Dynamic Panel Data and Their Applications

Lai

Friedman, Olshen, Rajaratnam

A Lasso for Hierarchical Interactions

Tibshirani

Hastie, Taylor

Detection of bumps on the intensity function of an inhomogeneous Poisson process

Walther

Taylor, Zhang

Uncertainty Quantification in High Dimensional Model Selection and Inference for Regression

Rajaratnam

Efron, Johnstone, Romano

Searching for structured interactions in and between datasets

Taylor

Hastie, Walther

Yeast and Chemostats, Balls and Urns: Two comments on the dynamics of adaptive evolution

Siegmund

Tang, Zhang

Differential Expression Identification and False Discovery Rate Estimation in RNA-Seq Data

Tibshirani

Hastie, Wong

Topics in Sparse Multivariate Statistics

Hastie

Friedman, Tibshirani
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