Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

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

Change-Point Models on Point Processes and Applications in Genomics

Zhang

Siegmund, Wong

Probabilistic and Statistical Modeling of Fixed Income Assets

Lai

Dembo, Giesecke

Topics in unsupervised learning: feature selection and multi-modality

Walther

Walther, Tibshirani, Lai

Consistency and convergence rate of Markov Chain Quasi Monte Carlo with Examples

Owen

Owen, Lai, Wong

Statistical combination of climate models

Switzer

Switzer, Walther, Zhang

Visualizing and modeling joint behavior of categorical variables with a large number of levels

Owen

Owen, Walther, Cover

Efficient models and algorithms for problems in genomics

Wong

Wong, Hua Tang, Tibshirani

Coupling optional Polya trees and the two sample problem

Wong

Wong, Siegmund, Tibshirani

A Mixture Model Approach to Empirical Bayes Testing and Estimation

Efron

Efron, Zhang, Tibshirani

Dynamic Empirical Bayes Models and Their Applications to Longitudinal Data

Lai

Lai, Zhang, Walther

On Latent Systemic Effects in Multiple Hypotheses

Owen, Zhang

Efron, Wong

The Solution Path of the Generalized Lasso

Taylor

Taylor, Candes, Hastie

Cross-Validation and Regression Analysis in High-Dimensional Sparse Linear Models

Lai

Lai, Rajaratnam, Zhang

Transposable Regularized Covariance Models with Applications to High-dimensional Data

Tibshirani

Tibshirani, Owen, Taylor

Option Pricing and Hedging with Transaction Costs

Lai

Lai, Rajaratnam, Walther

Sequential methods for rare event simulations: theory and applications

Lai

Lai, Siegmund, Kay Giesecke

Alternative Splicing Analysis using RNA-Seq Data

Wong

Wong, Olshen, Owen

Contributions to High Dimensional Principal Component Analysis

Johnstone

Johnstone, Diaconis, Tibshirani

Research Synthesis for Multiway Tables of Varying Shapes and Size

Hastie

Hastie, Tibshirani, Wong

Interest Rate Modeling and a Time Series Model for Functional Data

Lai

Lai, Walther, Switzer

Probability Forecast: Evaluation and Early Warning

Lai

Lai, Mei-Chiung Shih, Walther

A Penalized Matrix Decomposition, and its Applications

Tibshirani

Tibshirani, Rajaratnam, Taylor

Semi-Supervised Learning on Graphs --- A Statistical Approach

Owen

Owen, Tibshirani, Wong

Small sample performance and calibration of the Empirical Likelihood Method

Owen

Owen, Romano, Walther

Topics in machine learning

Tibshirani

Tibshirani, Hastie, Owen

Regression modelling of competing risks with applications to bone marrow transplantation studies and mortgage prepayment and default analysis

Lai

Lai, Switzer, Shih

Extension of Dynkin's and Diaconis-Evans' constructions of Gaussian fields from Markov processes, etc.

Diaconis, Rajaratnam

Diaconis, Dembo, Holmes
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