ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1402.5596
  4. Cited By
Exact Post Model Selection Inference for Marginal Screening
v1v2 (latest)

Exact Post Model Selection Inference for Marginal Screening

23 February 2014
Jason D. Lee
Jonathan E. Taylor
ArXiv (abs)PDFHTML

Papers citing "Exact Post Model Selection Inference for Marginal Screening"

21 / 21 papers shown
Title
A parametric distribution for exact post-selection inference with data
  carving
A parametric distribution for exact post-selection inference with data carving
Erik Drysdale
40
1
0
21 May 2023
Exact Selective Inference with Randomization
Exact Selective Inference with Randomization
Snigdha Panigrahi
Kevin Fry
Jonathan E. Taylor
61
14
0
25 Dec 2022
Inferring independent sets of Gaussian variables after thresholding
  correlations
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha
Daniela Witten
Jacob Bien
49
4
0
02 Nov 2022
A New Perspective on Debiasing Linear Regressions
A New Perspective on Debiasing Linear Regressions
Yufei Yi
Matey Neykov
78
2
0
08 Apr 2021
Post-Selection Inference via Algorithmic Stability
Post-Selection Inference via Algorithmic Stability
Tijana Zrnic
Michael I. Jordan
43
18
0
18 Nov 2020
Selective Inference for Latent Block Models
Selective Inference for Latent Block Models
C. Watanabe
Taiji Suzuki
34
5
0
27 May 2020
Integrative Bayesian models using Post-selective Inference: a case study
  in Radiogenomics
Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics
Snigdha Panigrahi
Shariq Mohammed
A. Rao
V. Baladandayuthapani
49
11
0
24 Apr 2020
Least Squares Approximation for a Distributed System
Least Squares Approximation for a Distributed System
Xuening Zhu
Feng Li
Hansheng Wang
48
56
0
14 Aug 2019
Carving model-free inference
Carving model-free inference
Marvin Aron Kennis
52
12
0
07 Nov 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
45
18
0
20 Apr 2018
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via
  iterated random functions
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions
A. Sepehri
J. Marković
62
4
0
20 Nov 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
101
29
0
26 Apr 2017
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
Post Selection Inference with Kernels
Post Selection Inference with Kernels
M. Yamada
Yuta Umezu
Kenji Fukumizu
Ichiro Takeuchi
83
28
0
12 Oct 2016
Selective inference with a randomized response
Selective inference with a randomized response
Xiaoying Tian
Jonathan E. Taylor
149
153
0
24 Jul 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Robert Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
198
105
0
20 Jun 2015
Selective inference with unknown variance via the square-root LASSO
Selective inference with unknown variance via the square-root LASSO
Xiaoying Tian
Joshua R. Loftus
Jonathan E. Taylor
145
38
0
29 Apr 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary,
  General Approach
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov
Christian B. Hansen
Martin Spindler
238
176
0
14 Jan 2015
Valid confidence intervals for post-model-selection predictors
Valid confidence intervals for post-model-selection predictors
François Bachoc
Hannes Leeb
B. M. Potscher
121
55
0
15 Dec 2014
Optimal Inference After Model Selection
Optimal Inference After Model Selection
William Fithian
Dennis L. Sun
Jonathan E. Taylor
311
336
0
09 Oct 2014
Sequential Selection Procedures and False Discovery Rate Control
Sequential Selection Procedures and False Discovery Rate Control
M. G'Sell
Stefan Wager
Alexandra Chouldechova
Robert Tibshirani
232
165
0
20 Sep 2013
1