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Technical Reports

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

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 stat-techreports@lists.stanford.edu.

You can search using title keywords, author, and/or year of issue, or browse the reports by series.

Format: 2018
Report # (Alt Rpt #) Date Author Title Note
2018-09
Dec 2018
L. Miolane
A. Montanari
The Distribution of the Lasso: Uniform Control Over Sparse Balls and Adaptive Parameter Tuning
2018-08
Dec 2018
A. Montanari
F. Ruan
J. Yan
Adapting to Unknown Noise Distribution in Matrix Denoising
2018-07
Oct 2018
B. Efron
B. Narasimhan
The Automatic Construction of Bootstrap Confidence Intervals
2018-06
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
2018-05
Sep 2018
J. Hwang
P. Orenstein
K. Pfeiffer
J. Cohen
L. Mackey
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
2018-04
May 2018
E. Rosenman
M. Baiocchi
A.B. Owen
Propensity Score Methods for Merging Observational and Experimental Datasets
2018-03
Apr 2018
E.J. Candès
P. Sur
The Phase Transition for the Existence of the Maximum Likelihood Estimate in High-dimensional Logistic Regression
2018-02
Mar 2018
P. Sur
E.J. Candès
A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression updated April 25
2018-01
Jan 2018
R.F. Barber
E.J. Candès
R.J. Samworth
Robust Inference with Knockoffs
2017-14
Nov 2017
A. Fu
B. Narasimhan
S. Boyd
CVXR: An R Package for Disciplined Convex Optimization

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