Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

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

Change-point stochastic regression models with applications to econometric time series

Lai

Lai, Siegmund, Walther

Change-point models and sequence alignments: Statistical problems of genomics

Siegmund

Siegmund, Dembo, Holmes

Some perspectives of sparse statistical modeling

Hastie

Hastie, Efron, Tibshirani

Graphical Structures for Geometric Detection

Donoho

Donoho, Diaconis, Siegmund

Methods for Predicting Patient Survival Based on DNA Microarray Data

Tibshirani

Tibshirani, Hastie, Walther

Concentration Inequalities with Exchangeable Pairs

Diaconis

Diaconis, Dembo, Siegmund

Statistical Issues in Computerized Adaptive Testing

Rogosa

Rogosa, Lai, Switzer

Diagnostics and Extrapolation in Machine Learning

Friedman

Friedman, Owen, Hastie

Extended Validity of Tracy-Widom Limiting Law, With Statistical Applications

Johnstone, Donoho

Johnstone, Donoho, Diaconis

New Findings of Functional ANOVA with Applications to Computational Finance and Statistics

Owen

Owen, Duffie, Efron, Walther

Nonparametric Estimation of Principal Components

Johnstone

Johnstone, Olshen, Walther

Robust Statistics of Variance Component Models to Map Genes in Humans

Siegmund

Siegmund, Owen, Whittemore

Statistical Advances in Interspecific Data Analysis

Sidow

Sidow, Romano, Tibshirani

Asymmetric Counterparty Relations in Default Modeling

Lai

Lai, Dembo, Owen

Statistical Methods for CGH Array Analysis

Tibshirani

Tibshirani, Hastie, Pollack

A Basis Function Approach to Interest Rate Derivative Valuation

Lai

Lai, Switzer, Walther

Thin Blue Noise Sampling and Its Application to Antialiasing in Computer Graphics

Owen

Owen, Walther, Hanrahan

Network Designs in Spatial Statistics

Switzer

Switzer, Hastie, Owen

Methods and Applications of Estimating Individual Genetic Admixture

Whittemore

Whittemore, Nelson, Siegmund

Sequential Monte Carlo and Dirichlet Mixtures for Extracting Protein Alignment Models

Liu

Liu, Lai, Owen

Ensemble Learning for Prediction

Friedman

Friedman, Hastie, Tibshirani

A Statistical Investigation of Particulate Air Pollution Mortality Time Series Study

Switzer

Switzer, Hastie, Walther
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