|
2016-2017 |
Edgar Dobriban |
Donoho |
Owen, Johnstone |
Topics in High-Dimensional Asymptotics |
|
2016-2017 |
Murat Anil 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 |
|
2016-2017 |
Jiyao Kou |
Walther |
Lai, Siegmund |
Large-scale inference with block structure |
|
2016-2017 |
Minyong Lee |
Owen |
Switzer, Taylor |
Prediction and dimension reduction methods in computer experiments |
|
2016-2017 |
Haben Michael |
Tian |
Holmes, Siegmund |
Evaluating Diagnostics under Dependency |
|
2016-2017 |
Scott Powers |
Tibshirani |
Friedman, Hastie |
Leveraging similarity in statistical learning |
|
2016-2017 |
Subhabrata Sen |
Dembo/Montanari |
Chatterjee |
Optimization, Random Graphs, and Spin Glasses |
|
2016-2017 |
Amir Sepehri |
Diaconis |
Chatterjee, Bump (Math) |
Non-parametric goodness-of-fit testing and applications |
|
2016-2017 |
Xiaoying Tian |
Taylor |
Hastie, Tibshirani |
Topics in selective inference |
|
2016-2017 |
Chaojun Wang |
Duffie (GSB) |
Krishnamurthy, Jackson, Dembo |
Financial Markets and Trading Networks |
|
2016-2017 |
Charles Yang Zheng |
Hastie/Taylor |
Efron, Poldrack (Psych) |
Supervised Evaluation of Representations |
