Project Euclid
mathematics and statistics online
Help
Contact
RSS
Log in
All
-----
Title
Author(s)
Abstract
Subject
Keyword
All Fields
Full Text
-----
About
or
Browse by
Title
Publisher
Discipline
About
News and events
Governance
Advisory Board
Project Euclid publishers
Policies
Ways to support Project Euclid
Contact Project Euclid
for Researchers
Manage my account
Accessing Project Euclid
Access levels
Pay-per-view and print-on-demand
for Librarians
Manage my account
Access levels
Collections, titles, and ordering
Librarian tools
for Publishers
Manage my account
Why partner with Project Euclid?
Benefits of Euclid Prime
Features of Project Euclid
Discovery service partners
Alloy — A Publishing Services Alliance
Publisher tools
The Annals of Statistics
Info
Current issue
All issues
Search
Ann. Statist.
← Previous issue
Next issue →
Volume 41, Number 2
April 2013
Select/deselect all
Export citations
Frontmatter
Table of Contents
Abstract
Enhanced PDF
Editorial Board
Abstract
Enhanced PDF
Articles
Learning loopy graphical models with latent variables: Efficient methods and guarantees
Animashree Anandkumar
and
Ragupathyraj Valluvan
; 401 - 435
More by Animashree Anandkumar
Search this author in:
Google Scholar
Project Euclid
More by Ragupathyraj Valluvan
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Geometry of the faithfulness assumption in causal inference
Caroline Uhler
,
Garvesh Raskutti
,
Peter Bühlmann
, and
Bin Yu
; 436 - 463
More by Caroline Uhler
Search this author in:
Google Scholar
Project Euclid
More by Garvesh Raskutti
Search this author in:
Google Scholar
Project Euclid
More by Peter Bühlmann
Search this author in:
Google Scholar
Project Euclid
More by Bin Yu
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
On the conditional distributions of low-dimensional projections from high-dimensional data
Hannes Leeb
; 464 - 483
More by Hannes Leeb
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Exact and asymptotically robust permutation tests
EunYi Chung
and
Joseph P. Romano
; 484 - 507
More by EunYi Chung
Search this author in:
Google Scholar
Project Euclid
More by Joseph P. Romano
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Consistency under sampling of exponential random graph models
Cosma Rohilla Shalizi
and
Alessandro Rinaldo
; 508 - 535
More by Cosma Rohilla Shalizi
Search this author in:
Google Scholar
Project Euclid
More by Alessandro Rinaldo
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
$\ell_{0}$-penalized maximum likelihood for sparse directed acyclic graphs
Sara van de Geer
and
Peter Bühlmann
; 536 - 567
More by Sara van de Geer
Search this author in:
Google Scholar
Project Euclid
More by Peter Bühlmann
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Fourier analysis of stationary time series in function space
Victor M. Panaretos
and
Shahin Tavakoli
; 568 - 603
More by Victor M. Panaretos
Search this author in:
Google Scholar
Project Euclid
More by Shahin Tavakoli
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Low rank estimation of smooth kernels on graphs
Vladimir Koltchinskii
and
Pedro Rangel
; 604 - 640
More by Vladimir Koltchinskii
Search this author in:
Google Scholar
Project Euclid
More by Pedro Rangel
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Moderate deviations for a nonparametric estimator of sample coverage
Fuqing Gao
; 641 - 669
More by Fuqing Gao
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Sequential multi-sensor change-point detection
Yao Xie
and
David Siegmund
; 670 - 692
More by Yao Xie
Search this author in:
Google Scholar
Project Euclid
More by David Siegmund
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
The multi-armed bandit problem with covariates
Vianney Perchet
and
Philippe Rigollet
; 693 - 721
More by Vianney Perchet
Search this author in:
Google Scholar
Project Euclid
More by Philippe Rigollet
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Adaptive confidence intervals for regression functions under shape constraints
T. Tony Cai
,
Mark G. Low
, and
Yin Xia
; 722 - 750
More by T. Tony Cai
Search this author in:
Google Scholar
Project Euclid
More by Mark G. Low
Search this author in:
Google Scholar
Project Euclid
More by Yin Xia
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Density-sensitive semisupervised inference
Martin Azizyan
,
Aarti Singh
, and
Larry Wasserman
; 751 - 771
More by Martin Azizyan
Search this author in:
Google Scholar
Project Euclid
More by Aarti Singh
Search this author in:
Google Scholar
Project Euclid
More by Larry Wasserman
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Sparse principal component analysis and iterative thresholding
Zongming Ma
; 772 - 801
More by Zongming Ma
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Valid post-selection inference
Richard Berk
,
Lawrence Brown
,
Andreas Buja
,
Kai Zhang
, and
Linda Zhao
; 802 - 837
More by Richard Berk
Search this author in:
Google Scholar
Project Euclid
More by Lawrence Brown
Search this author in:
Google Scholar
Project Euclid
More by Andreas Buja
Search this author in:
Google Scholar
Project Euclid
More by Kai Zhang
Search this author in:
Google Scholar
Project Euclid
More by Linda Zhao
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Minimax adaptive tests for the functional linear model
Nadine Hilgert
,
André Mas
, and
Nicolas Verzelen
; 838 - 869
More by Nadine Hilgert
Search this author in:
Google Scholar
Project Euclid
More by André Mas
Search this author in:
Google Scholar
Project Euclid
More by Nicolas Verzelen
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Bayesian nonparametric analysis of reversible Markov chains
Sergio Bacallado
,
Stefano Favaro
, and
Lorenzo Trippa
; 870 - 896
More by Sergio Bacallado
Search this author in:
Google Scholar
Project Euclid
More by Stefano Favaro
Search this author in:
Google Scholar
Project Euclid
More by Lorenzo Trippa
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Optimal discriminating designs for several competing regression models
Dietrich Braess
and
Holger Dette
; 897 - 922
More by Dietrich Braess
Search this author in:
Google Scholar
Project Euclid
More by Holger Dette
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Minimax properties of Fréchet means of discretely sampled curves
Jérémie Bigot
and
Xavier Gendre
; 923 - 956
More by Jérémie Bigot
Search this author in:
Google Scholar
Project Euclid
More by Xavier Gendre
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models
Lam Si Tung Ho
and
Cécile Ané
; 957 - 981
More by Lam Si Tung Ho
Search this author in:
Google Scholar
Project Euclid
More by Cécile Ané
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Natural statistics for spectral samples
E. Di Nardo
,
P. McCullagh
, and
D. Senato
; 982 - 1004
More by E. Di Nardo
Search this author in:
Google Scholar
Project Euclid
More by P. McCullagh
Search this author in:
Google Scholar
Project Euclid
More by D. Senato
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Multivariate density estimation under sup-norm loss: Oracle approach, adaptation and independence structure
Oleg Lepski
; 1005 - 1034
More by Oleg Lepski
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Relative errors for bootstrap approximations of the serial correlation coefficient
Chris Field
and
John Robinson
; 1035 - 1053
More by Chris Field
Search this author in:
Google Scholar
Project Euclid
More by John Robinson
Search this author in:
Google Scholar
Project Euclid
Abstract
Enhanced PDF
Select/deselect all
Export citations
Export citations
Format:
Text (BibTeX)
Text (printer-friendly)
RIS (EndNote, ProCite, Reference Manager)
Delivery Method:
Download
Email
Please enter a valid email address.
Email sent.
© 2019 Institute of Mathematical Statistics
Top
The Institute of Mathematical Statistics
Editorial Board
For Authors
Subscriptions
First Online
Future Papers
New content alerts
Email
RSS ToC
RSS Article
You have access to this content.
You have partial access to this content.
You do not have access to this content.
Turn Off MathJax
What is MathJax?