Alumni
Visit Stanford University Libraries to search for the PhD dissertations of our graduates.
Graduation Year
Student
Dissertation
Advisor
Committee Members
Finding Multiple Clustering Structures in Data, with Applications to DNA Microarrays
Tibshirani
Tibshirani, Friedman, Walther
Estimating the Term Structure of Credit Spreads: Callable Corporate Debt
Duffie
Duffie, Dembo, Lai
An Attempt to Perform Bengali Optical Character Recognition
Diaconis
Diaconis, Hastie, Holmes
Theoretical Methodology for Nonlinear Dimensionality Reduction
Donoho
Donoho, Papanicolaou, Johnstone
A New Approach to Bias Reduction Using the Iterated Bootstrap
Owen
Owen, Efron, Romano
Autoregressive Models with Time-Varying Parameters and Applications to Financial Time Series
Lai
Lai, Switzer, Walther
Boosting and Other Exact and Approximate Methods for Parametric Regularized Optimization
Friedman/Hastie
Tibshirani
Classification with High-Dimensional Predictors and Qualitative Response Application to Genetics
Olshen
Olshen, Efron, Tibshirani
Confidence Intervals Following Group Sequential Trials with Random Group Sizes and Applications to Survival Analysis
Lai
Lai, Siegmund, Walther
Sparse Principal Component Analysis for Functional Data
Johnstone
Johnstone, Owen, Walther
Machine Learning Characterization of Decision Boundaries in Multi-Dimensional American Options
Owen
Owen, Friedman, Hastie
Inference and Model Selection for Instrumental Variables Regression
Lai
Lai, Romano, Siegmund
False Discovery Rates Theory and Applications to DNA Microarrays
Tibshirani
Tibshirani, Johnstone, Siegmund
Spline Fitting and a Random Coefficient Model of Longitudinal Irregularly Spaced Data with an Application to Diabetic Nephropathy
Olshen
Extensions of Stochastic Approximation for High Dimensional Optimization with Applications to Investment Allocation and Nonlinear Experimental Design
Owen
Owen, Liu, Walther
Extended Exponential Criterion: A New Selection Procedure for Scatterplot Smoothers
Efron
Efron, Johnstone, Tibshirani
Feature Extraction and Dimension Reduction with Applications to Classification and the Analysis of Co-Occurence Data
Hastie
Hastie, Friedman, Tibshirani
Segmentation and Estimation in Stochastic Systems with Occasional Parameter Changes
Lai
Lai, Liu, Siegmund
Estimation in Nonlinear Mixed Effects Models: Parametric and Nonparametric Approaches
Lai
Lai, Liu, Olshen
Monte Carlo Goodness-of-Fit Tests for Discrete Data
Diaconis
Diaconis, Johnstone, Stein
Using Variance Components to Map Quantitative Trait Loci in Humans
Siegmund
Siegmund, Dembo, Liu
Locally Adaptive Principal Components for Intrinsic Dimensionality and Density Estimation
Friedman
Friedman, Hastie, Owen
Image Restoration Through Modifications of Markov Chain Samplers
Switzer
Switzer, Owen, Walther
Recursive Integration and Optimal Stopping: Applications to Option Pricing
Lai
Lai, Dembo, Walther
Boundary Crossing Theory in Change-Point Detection and Its Applications
Lai
Lai, Siegmund, Dembo
Majority Vote Classifiers: Theory and Applications
Hastie
Hastie, Friedman, Owen
Group Transformations and Dimensionality Reduction in Transitive MCMC
Liu
Hastie, Lai
Detection of a Smooth Signal in Fixed Sample and Sequential Problems
Siegmund
Siegmund, Walther, Johnstone
Techniques for Clustering and Classification with Applications to Medicine
Olshen
Olshen, Efron, Friedman