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Uniform Asymptotic Inference and the Bootstrap After Model Selection
v1v2v3 (latest)

Uniform Asymptotic Inference and the Bootstrap After Model Selection

20 June 2015
Robert Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
ArXiv (abs)PDFHTML

Papers citing "Uniform Asymptotic Inference and the Bootstrap After Model Selection"

32 / 32 papers shown
Title
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
Ying Jin
Zhimei Ren
485
8
0
06 Mar 2024
Graph fission and cross-validation
Graph fission and cross-validation
James Leiner
Aaditya Ramdas
88
1
0
26 Jan 2024
Distribution-uniform anytime-valid sequential inference
Distribution-uniform anytime-valid sequential inference
Ian Waudby-Smith
Edward H. Kennedy
Aaditya Ramdas
63
0
0
06 Nov 2023
Selective inference after convex clustering with $\ell_1$ penalization
Selective inference after convex clustering with ℓ1\ell_1ℓ1​ penalization
François Bachoc
Cathy Maugis-Rabusseau
P. Neuvial
63
3
0
04 Sep 2023
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
85
17
0
22 Mar 2023
Inferring independent sets of Gaussian variables after thresholding
  correlations
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha
Daniela Witten
Jacob Bien
51
4
0
02 Nov 2022
Small Tuning Parameter Selection for the Debiased Lasso
Small Tuning Parameter Selection for the Debiased Lasso
Akira Shinkyu
N. Sueishi
43
1
0
18 Aug 2022
Valid post-selection inference in Robust Q-learning
Valid post-selection inference in Robust Q-learning
Jeremiah Jones
Ashkan Ertefaie
Robert L. Strawderman
OffRL
45
2
0
05 Aug 2022
High Dimensional Generalised Penalised Least Squares
High Dimensional Generalised Penalised Least Squares
Ilias Chronopoulos
Katerina Chrysikou
G. Kapetanios
122
2
0
14 Jul 2022
SIGLE: a valid procedure for Selective Inference with the Generalized
  Linear Lasso
SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso
Quentin Duchemin
Yohann De Castro
49
0
0
29 Mar 2022
Selective inference for k-means clustering
Selective inference for k-means clustering
Yiqun T. Chen
Daniela Witten
70
47
0
29 Mar 2022
Debiased and threshold ridge regression for linear model with
  heteroskedastic and dependent error
Debiased and threshold ridge regression for linear model with heteroskedastic and dependent error
Yunyi Zhang
D. Politis
46
1
0
26 Oct 2021
Post-selection inference for linear mixed model parameters using the
  conditional Akaike information criterion
Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion
G. Claeskens
Katarzyna Reluga
S. Sperlich
49
2
0
22 Sep 2021
Tree-Values: selective inference for regression trees
Tree-Values: selective inference for regression trees
Anna Neufeld
Lucy L. Gao
Daniela Witten
62
26
0
15 Jun 2021
Selective Inference for Hierarchical Clustering
Selective Inference for Hierarchical Clustering
Lucy L. Gao
Jacob Bien
Daniela Witten
65
99
0
05 Dec 2020
Hybrid Confidence Intervals for Informative Uniform Asymptotic Inference
  After Model Selection
Hybrid Confidence Intervals for Informative Uniform Asymptotic Inference After Model Selection
Adam Mccloskey
154
9
0
25 Nov 2020
Post-selection inference with HSIC-Lasso
Post-selection inference with HSIC-Lasso
Tobias Freidling
B. Poignard
Héctor Climente-González
M. Yamada
76
14
0
29 Oct 2020
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
Yunyi Zhang
D. Politis
42
12
0
17 Sep 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
105
35
0
21 Jul 2020
Selective Inference for Additive and Linear Mixed Models
Selective Inference for Additive and Linear Mixed Models
David Rügamer
Philipp F. M. Baumann
S. Greven
80
11
0
15 Jul 2020
Sapphire: Automatic Configuration Recommendation for Distributed Storage
  Systems
Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems
Wenhao Lyu
Youyou Lu
J. Shu
Wei Zhao
25
8
0
07 Jul 2020
Selective Inference for Latent Block Models
Selective Inference for Latent Block Models
C. Watanabe
Taiji Suzuki
34
5
0
27 May 2020
Carving model-free inference
Carving model-free inference
Marvin Aron Kennis
52
12
0
07 Nov 2018
Valid Post-selection Inference in Assumption-lean Linear Regression
Valid Post-selection Inference in Assumption-lean Linear Regression
Arun K. Kuchibhotla
L. Brown
A. Buja
E. George
Linda H. Zhao
103
13
0
11 Jun 2018
Inference for $L_2$-Boosting
Inference for L2L_2L2​-Boosting
David Rügamer
S. Greven
20
0
0
04 May 2018
On the Post Selection Inference constant under Restricted Isometry
  Properties
On the Post Selection Inference constant under Restricted Isometry Properties
François Bachoc
Gilles Blanchard
P. Neuvial
55
18
0
20 Apr 2018
Estimating the error variance in a high-dimensional linear model
Estimating the error variance in a high-dimensional linear model
Guo Yu
Jacob Bien
74
39
0
06 Dec 2017
Selective inference for the problem of regions via multiscale bootstrap
Selective inference for the problem of regions via multiscale bootstrap
Y. Terada
Hidetoshi Shimodaira
52
12
0
02 Nov 2017
Inferactive data analysis
Inferactive data analysis
Nan Bi
J. Marković
Lucy Xia
Jonathan E. Taylor
47
15
0
20 Jul 2017
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free
  Inference
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference
Alessandro Rinaldo
Larry A. Wasserman
M. G'Sell
Jing Lei
97
94
0
16 Nov 2016
Uniformly valid confidence intervals post-model-selection
Uniformly valid confidence intervals post-model-selection
François Bachoc
David Preinerstorfer
Lukas Steinberger
92
49
0
03 Nov 2016
Valid confidence intervals for post-model-selection predictors
Valid confidence intervals for post-model-selection predictors
François Bachoc
Hannes Leeb
B. M. Potscher
124
54
0
15 Dec 2014
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