Dissertations are held in the collections of
Stanford University Libraries.
Cohort | Student | Advisor Name | Committee Names | Dissertation |
---|---|---|---|---|
2018-2019 | Paulo Orenstein | Diaconis | Chatterjee, Wong | Topics in Robust Mean Estimation |
2018-2019 | Feng Ruan | Duchi | Johnstone, Candes | Adapting local minimax theory to modern applications |
2018-2019 | Pragya Sur | Candes | Montanari, Johnstone | A Modern Maximum Likelihood Theory for High-Dimensional Logistic Regression |
2018-2019 | David Walsh | Johari (MS&E) | Efron, Owen | How to design and analyze online A/B tests within decentralized organizations |
2018-2019 | Jeha Yang | Johnstone | Owen, Donoho | Edgeworth approximations for spiked PCA models and applications |
Cohort | Student | Advisor Name | Committee Names | Dissertation |
---|---|---|---|---|
2017-2018 | Joseph Arthur | Wong | Owen, Tang | Detection and validation of genomic structural variation from DNA sequencing data |
2017-2018 | Cyrus DiCiccio | Romano | Taylor, Tibshirani | Hypothesis Testing Using Multiple Data Splitting |
2017-2018 | Zhou Fan | Montanari/Johnstone | Candes | Eigenvalues in multivariate random effects models |
2017-2018 | Kelvin Guu | Liang (CS) | Wong, Mackey, Manning (CS) | Learning to generate text, programs (and beyond) from weak supervision |
2017-2018 | Ya Le | Hastie | Efron, Taylor | Topics in statistical learning with a focus on large-scale data |
2017-2018 | Snigdha Panigrahi | Taylor | Tibshirani, Sabatti | An approximation-based framework for post-selective inference |
2017-2018 | Kris Sankaran | Holmes | Switzer, Efron | Discovery and Visualization of Latent Structure with Applications to the Microbiome |
Cohort | Student | Advisor Name | Committee Names | Dissertation |
---|---|---|---|---|
2016-2017 | Edgar Dobriban | Donoho | Owen, Johnstone | Topics in High-Dimensional Asymptotics |
2016-2017 | Murat A. Erdogdu | Montanari/Bayati | Candes | Stein's Lemma and Subsampling in Large-Scale Optimization |
2016-2017 | Julia Fukuyama | Holmes | Wong, Relman (Med) | Multivariate Methods for the Analysis of Structured Data |
2016-2017 | Katelyn Xiang Gao | Owen | Tibshirani, Mackey | Scalable Estimation and Inference for Massive Linear Mixed Models with Crossed Random Effects |
2016-2017 | Jack Gorham | Mackey/Candes | Owen | Measuring Sample Quality with Stein's Method |
2016-2017 | Ruojun Huang | Dembo | Chatterjee, Diaconis | Monotone interactions of random walks and graphs |
2016-2017 | Lucas Janson | Candes | Mackey, Hastie | A model-free approach to high-dimensional inference |
2016-2017 | Bai Jiang | Wong | Lai, Diaconis | Two Parameter Inference Methods in Likelihood-free Models: Approximate Bayesian Computation and Contrastive Divergence |