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Alumni
Visit Stanford University Libraries to search for the PhD dissertations of our graduates.
Graduation Year
Student
Dissertation
Advisor
Committee Members
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
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
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
Robust Statistics of Variance Component Models to Map Genes in Humans
Siegmund
Siegmund, Owen, Whittemore
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
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
A Statistical Investigation of Particulate Air Pollution Mortality Time Series Study
Switzer
Switzer, Hastie, Walther
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