Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

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

Update Algorithms for Masquerade Detection

Friedman

Friedman, Ullman, Owen

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

Data Driven Shrinkage Strategies for Quasi-Regression

Owen

Owen, Donoho, Hastie

Detecting and Estimating Sparse Mixtures

Donoho

Donoho, Johnstone, Siegmund

Hidden Variable Models and Their Applications

Dembo

Dembo, Gray, Lai

Autoregressive Models with Time-Varying Parameters and Applications to Financial Time Series

Lai

Lai, Switzer, Walther

Stochastic Models for Lipid Biochemistry

Olshen

Olshen, Johnston, Switzer

Boosting and Other Exact and Approximate Methods for Parametric Regularized Optimization

Friedman/Hastie

Tibshirani

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