Skip to content Skip to navigation

Technical Reports

Technical reports are available from a variety of series, spanning many different reporting groups and funding agencies. To date, all known Statistics Department reports that are present in the Archive have been scanned and appear on this site.

You can search using Title keywords, Author name, and/or Year issued, or simply browse the reports by Series. If you find an error on these pages, or have information regarding any of our missing reports, please send a message to the Technical Reports Archive at

Format: 2021
Report # (Alt Rpt #) Date Author Title Note
Jan 2019
A.B. Owen
Y. Zhou
The Square Root Rule for Adaptive Importance Sampling
Dec 2018
Y. Romano
M. Sesia
E.J. Candès
Deep Knockoffs
Dec 2018
L. Miolane
A. Montanari
The Distribution of the Lasso: Uniform Control Over Sparse Balls and Adaptive Parameter Tuning
Dec 2018
A. Montanari
F. Ruan
J. Yan
Adapting to Unknown Noise Distribution in Matrix Denoising
Oct 2018
B. Efron
B. Narasimhan
The Automatic Construction of Bootstrap Confidence Intervals
Sep 2018
W. Guo
G. Lynch
J.P. Romano
A New Approach for Large Scale Multiple Testing with Application to FDR Control for Graphically Structured Hypotheses
Sep 2018
J. Hwang
P. Orenstein
K. Pfeiffer
J. Cohen
L. Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
May 2018
E. Rosenman
M. Baiocchi
A.B. Owen
Propensity Score Methods for Merging Observational and Experimental Datasets
Apr 2018
E.J. Candès
P. Sur
The Phase Transition for the Existence of the Maximum Likelihood Estimate in High-dimensional Logistic Regression
Mar 2018
P. Sur
E.J. Candès
A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression updated April 25