Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

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

Some methods for analyzing high-dimensional genomic data

Tibshirani

Tibshirani, Hastie, Walther

Cross-validation for unsupervised learning

Owen

Owen, Johnstone, Taylor

A method for the analysis of multi-factorial time course microarray data with applications to a clinical burn study

Wong

Wong, Siegmund, Zhang

Regression models with spatially correlated errors: Applications to urban core growth in China

Switzer

Switzer, Siegmund, Rozelle

Estimation of high dimension covariance matrix and adaptive portfolio selection

Lai

Lai, Walther, Switzer

Estimating integrated volatility with Markov Chains

Hansen

Hansen, Lai, Romano

Modeling background and cross-hybridization effects of microarray probes

Wong

Wong, Tibshirani, Holmes

Sparse regression with exact clustering

Owen

Owen, Hastie, Friedman, Walther

Greedy functional learning machine in finance

Lai

Lai, Ye, Walther

Topics on Markov chains with polynomial eigenfunctions

Diaconis

Diaconis, Siegmund, Coram

Tools for multivariate bump hunting

Walther

Walther, Romano, Tibshirani

Two essays on credit default correlation

Duffie

Duffie, Giesecke, Lai

Cluster analysis with the in-group proportion 

Tibshirani

Tibshirani, Hastie, Stefanie Jeffrey

Stable random projections and conditional random sampling, two sampling techniques for modern massive datasets

Hastie

Hastie, Owen, Tibshirani

Spectral analysis with Markov Chains

Diaconis

Diaconis, Holmes, Wong

Markov Chain Monte Carlo algorithms using completely uniformly distributed sequences

Owen

Owen, Hastie, Jackman

Empirical null distributions and local false discovery rates

Efron

Efron, Lavori, Hastie

Statistics in ecological modeling; the presence-only problem and other procedures

Hastie

Hastie, Tibshirani, Rogosa

High dimensional classification with application in microarray analysis

Tibshirani

Tibshirani, Hastie, Dill

Dynamic portfolio management

Lai

Lai, Primbs, Van Roy

A Bayesian approach for additive-multiplicative hazard models

Lai

Lai, Switzer, Walther

Contributions to Bayesian survival analysis

Lai

Lai, Romano, Walther

A statistic for measuring the value of side information in investment

Cover

Cover, Diaconis, Efron

Generalized linear models with regularization

Hastie

Hastie, Owen, Tibshirani

Multivariate kernel methods in the analysis of graphical structures

Holmes

Holmes, Wong, Owen

Random ellipsoids and false discovery rates: statistics for diffusion tensor imaging data

Efron

Efron, Hastie, Taylor

Quantitative trait mapping using large pedigrees and model selection

Siegmund

Siegmund, Holmes, Whittemore

Model selection when the number of variables exceeds the number of observations

Donoho

Donoho, Hastie, Tibshirani, Olkin, Efron