Alumni

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

Graduation Year
Student
Dissertation
Advisor
Committee Members

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

Ridglets: 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

Disriminative 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

On a Randomization Method for Model-Free Regression Diagnostics

Efron

Efron, Owen, Liu

Statistical Methods in Linkage Analysis

Siegmund

Siegmund, Lai, Risch

Subsampling for Nonstationary Time Series with an Application to Finance

Romano

Romano, Switzer, Walther

Estimation with Resampling After Sequential Tests

Lai

Lai, Romano, Liu

Comparison of Treatments Under Adaptive Treatment Allocation in Clinical Trials and Stochastic Adaptive Control

Lai

Lai, Johnstone, Siegmund

Information Retrieval Using Statistical Classification

Friedman

Friedman, Owen, Pedersen

A Stochastic EM Estimator in the Presence of Missing Data-Theory and Applications

Olkin

Olkin, Romano, Switzer

Nonparametric Regression for Censored and Truncated Data

Lai

Lai, Efron, Hastie

Adaptive Signal Regression

Friedman

Friedman, Olshen, Hastie

Visualization and Exploration of High-Dimensional Functions Using the Functional Anova Decomposition

Friedman

Friedman, Owen, Hastie

Sequential Detection of Parameter Changes in Linear Dynamic Systems and Regression Models

Lai

Lai, Anderson, Romano

Statistical Problems Associated with Mapping Complex and Quantitative Traits from Genomic Mismatch Scanning Data

Siegmund

Siegmund, Olshen, Owen

Wavelet Methods for the Inversion of Certain Homogeneous Linear Operators in the Presence of Noisy Data

Donoho

Donoho, Olshen, Johnstone

Rare Event Simulation in Radiation Transport

Glynn

DiCiccio, Adhikari

Optimal Consumption/Investment Decisions with Partial Observations

Siegmund

Siegmund, Duffie, Dembo

Asymptotic Corrections for Adjusted Profile Likelihoods

DiCiccio

DiCiccio, Martin, Romano