Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

Flexible Statistical Modeling

Hastie

Hastie, Efron, Tibshirani

Nonparametric Bayesian Classification

Diaconis

Diaconis, Efron, Friedman

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

Statistical Methods for Two Problems in DNA Sequence Comparisons

Siegmund

Efron, Feldman

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

Sequential Importance Sampling with Resampling: Theory and Applications

Lai

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

Linkage mapping in S. Cervisias with Hidden Markov Models

Siegmund

Mathematical Frameworks for Population Growth Modelling

Siegmund

Siegmund, Liu, Switzer

Segmentation and Estimation in Stochastic Systems with Occasional Parameter Changes

Lai

Lai, Liu, Siegmund

Statistical Modeling of Indoor Air Pollutant Concentration Time Series

Switzer

Estimation in Nonlinear Mixed Effects Models: Parametric and Nonparametric Approaches

Lai

Lai, Liu, Olshen

Multiperiod Control in Stochastic Regression Models

Lai

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

Parameter Estimation in Stochastic Volatility Models and Hidden Markov Chains

Lai

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

Exponential and Spherical Subfamily Models

Efron

Efron, Hastie, Switzer

Sparse Image Representation via Combined Transforms

Donoho

Donoho, Boyd, Saunders

Maxima of Partial Sums Indexed by Geometrical Structures

Dembo

Dembo, Lai, Stein

Recursive Integration and Optimal Stopping: Applications to Option Pricing

Lai

Lai, Dembo, Walther

Ridgelets: Theory and Applications

Donoho

Johnstone, Papanicolaou

Boundary Crossing Theory in Change-Point Detection and Its Applications

Lai

Lai, Siegmund, Dembo

Adaptive Bootstrap L/4-Estimation

Romano

Romano, Switzer, Efron

Majority Vote Classifiers: Theory and Applications

Hastie

Hastie, Friedman, Owen

Discriminative vs. Informative Learning

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

Adaptive Metrology and Mask Inspection

Owen

Owen, Pease, Switzer

Adaptive Importance Sampling for Integration

Owen

Owen, Friedman, Hastie

Statistical Applications of Adaptive Basis Selection

Donoho

Donoho, Olshen, Johnstone

Analysis of R-Scan Statistics for Marker Arrays inChen Correlated Sequences

Karlin

Karlin, Dembo, Lai

Bootstrap Assisted Goodness of Fit Tests in the Frequency Domain

Romano

Romano, Switzer, Efron

Modeling Image Sequences, with Particular Application to FMRI Data

Hastie

Hastie, Friedman, Johnstone

Theory and Applications of Scan Statistics

Siegmund

Siegmund, Whittemore, Lai

Stochastic Neural Networks and Their Applications to Regression Analysis and Time Series Forecasting

Lai

Lai, Olshen, Hastie

Robust Estimation of Effect Sizes in Meta-Analysis

Olkin

Olkin, Switzer, Kraemer

Time Dependent Spectral Analysis of Nonstationary Time Series

Johnstone

Johnstone, Donoho, Efron

Basis Pursuit

Donoho

Donoho, Johnstone, Saunders

Statistical Applications of Eigenvalue Expansions

Olkin

Olkin, Lai, Liu

Nonparametric Function Estimation with Left-Truncated and Right-Censored Data

Lai

Lai, Owen, Switzer