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On adaptive inference and confidence bands

On adaptive inference and confidence bands

23 February 2012
M. Hoffmann
Richard Nickl
ArXiv (abs)PDFHTML

Papers citing "On adaptive inference and confidence bands"

50 / 50 papers shown
On Adaptive confidence Ellipsoids for sparse high dimensional linear
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On Adaptive confidence Ellipsoids for sparse high dimensional linear models
Xiaoyang Xie
290
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The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks
S. Bieringer
Gregor Kasieczka
Maximilian F. Steffen
Mathias Trabs
370
1
0
13 Oct 2023
Optimal regularized hypothesis testing in statistical inverse problems
Optimal regularized hypothesis testing in statistical inverse problemsInverse Problems (IP), 2022
Remo Kretschmann
D. Wachsmuth
Frank Werner
376
3
0
25 Dec 2022
On Uniform Confidence Intervals for the Tail Index and the Extreme
  Quantile
On Uniform Confidence Intervals for the Tail Index and the Extreme QuantileJournal of Econometrics (JE), 2022
Yuya Sasaki
Yulong Wang
236
1
0
11 Oct 2022
On Adaptive Confidence Sets for the Wasserstein Distances
On Adaptive Confidence Sets for the Wasserstein Distances
N. Deo
Thibault Randrianarisoa
295
2
0
16 Nov 2021
Optional Pólya trees: posterior rates and uncertainty quantification
Optional Pólya trees: posterior rates and uncertainty quantification
I. Castillo
Thibault Randrianarisoa
200
1
0
11 Oct 2021
Change-Point Analysis of Time Series with Evolutionary Spectra
Change-Point Analysis of Time Series with Evolutionary Spectra
A. Casini
Pierre Perron
286
15
0
03 Jun 2021
Ideal Bayesian Spatial Adaptation
Ideal Bayesian Spatial AdaptationJournal of the American Statistical Association (JASA), 2021
Veronika Rockova
Judith Rousseau
306
18
0
26 May 2021
Smooth Bandit Optimization: Generalization to Hölder Space
Smooth Bandit Optimization: Generalization to Hölder SpaceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yusha Liu
Yining Wang
Aarti Singh
256
15
0
11 Dec 2020
Adaptive Inference in Multivariate Nonparametric Regression Models Under
  Monotonicity
Adaptive Inference in Multivariate Nonparametric Regression Models Under Monotonicity
Koohyun Kwon
S. Kwon
161
2
0
28 Nov 2020
Is distribution-free inference possible for binary regression?
Is distribution-free inference possible for binary regression?
Rina Foygel Barber
450
31
0
20 Apr 2020
Spike and Slab Pólya tree posterior distributions: adaptive inference
Spike and Slab Pólya tree posterior distributions: adaptive inference
I. Castillo
Romain Mismer
455
2
0
27 Nov 2019
Uncertainty Quantification for Bayesian CART
Uncertainty Quantification for Bayesian CARTAnnals of Statistics (Ann. Stat.), 2019
I. Castillo
Veronika Rockova
344
17
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16 Oct 2019
On Semi-parametric Bernstein-von Mises Theorems for BART
On Semi-parametric Bernstein-von Mises Theorems for BART
Veronika Rockova
201
7
0
09 May 2019
Optimal Sparsity Testing in Linear regression Model
Optimal Sparsity Testing in Linear regression Model
Alexandra Carpentier
Nicolas Verzélen
234
10
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25 Jan 2019
Adaptation Bounds for Confidence Bands under Self-Similarity
Adaptation Bounds for Confidence Bands under Self-Similarity
Timothy B. Armstrong
260
1
0
23 Oct 2018
Posterior contraction for empirical Bayesian approach to inverse
  problems under non-diagonal assumption
Posterior contraction for empirical Bayesian approach to inverse problems under non-diagonal assumption
Junxiong Jia
Jigen Peng
Jinghuai Gao
389
7
0
04 Oct 2018
The smoothness test for a density function
The smoothness test for a density function
Bogdan Ćmiel
K. Dziedziul
B. Wolnik
148
1
0
07 Sep 2018
Testability of high-dimensional linear models with non-sparse structures
Testability of high-dimensional linear models with non-sparse structuresAnnals of Statistics (Ann. Stat.), 2018
Jelena Bradic
Jianqing Fan
Yinchu Zhu
461
19
0
26 Feb 2018
Adaptivity to Noise Parameters in Nonparametric Active Learning
Adaptivity to Noise Parameters in Nonparametric Active Learning
A. Locatelli
Alexandra Carpentier
Samory Kpotufe
247
30
0
16 Mar 2017
Adaptive estimation of the sparsity in the Gaussian vector model
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier
Nicolas Verzélen
245
31
0
01 Mar 2017
Locally Adaptive Confidence Bands
Locally Adaptive Confidence Bands
Tim Patschkowski
Angelika Rohde
349
7
0
27 Oct 2016
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
428
25
0
16 Sep 2016
Adaptive confidence sets for matrix completion
Adaptive confidence sets for matrix completion
Alexandra Carpentier
Olga Klopp
Matthias Loffler
Richard Nickl
244
28
0
17 Aug 2016
Accuracy Assessment for High-dimensional Linear Regression
Accuracy Assessment for High-dimensional Linear Regression
T. Tony Cai
Zijian Guo
223
44
0
10 Mar 2016
Optimal Adaptive Inference in Random Design Binary Regression
Optimal Adaptive Inference in Random Design Binary Regression
Rajarshi Mukherjee
S. Sen
TPM
275
9
0
10 Dec 2015
On signal detection and confidence sets for low rank inference problems
On signal detection and confidence sets for low rank inference problems
Alexandra Carpentier
Richard Nickl
249
12
0
14 Jul 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax
  Rates and Adaptivity
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity
T. Tony Cai
Zijian Guo
437
189
0
18 Jun 2015
Adaptive Bayesian credible sets in regression with a Gaussian process
  prior
Adaptive Bayesian credible sets in regression with a Gaussian process prior
S. Sniekers
A. van der Vaart
203
50
0
29 Apr 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum
  Tomography Problems
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography ProblemsProgress in probability (PP), 2015
Alexandra Carpentier
Jens Eisert
David Gross
Richard Nickl
306
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13 Apr 2015
Nonparametric change-point analysis of volatility
Nonparametric change-point analysis of volatility
M. Bibinger
M. Jirak
Mathias Vetter
250
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Adaptive confidence bands for Markov chains and diffusions: Estimating
  the invariant measure and the drift
Adaptive confidence bands for Markov chains and diffusions: Estimating the invariant measure and the drift
Jakob Sohl
Mathias Trabs
381
14
0
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Discussion of "Frequentist coverage of adaptive nonparametric Bayesian
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Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets"
Richard Nickl
237
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Asymptotically Honest Confidence Regions for High Dimensional Parameters
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Asymptotically Honest Confidence Regions for High Dimensional Parameters by the Desparsified Conservative Lasso
Mehmet Caner
Anders Bredahl Kock
518
72
0
15 Oct 2014
On coverage and local radial rates of DDM-credible sets
On coverage and local radial rates of DDM-credible sets
E. Belitser
372
6
0
20 Jul 2014
Adaptive Bernstein-von Mises theorems in Gaussian white noise
Adaptive Bernstein-von Mises theorems in Gaussian white noise
Kolyan Ray
518
58
0
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A sharp adaptive confidence ball for self-similar functions
A sharp adaptive confidence ball for self-similar functions
Richard Nickl
Botond Szabó
369
36
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Adaptive confidence intervals for the tail coefficient in a wide second
  order class of Pareto models
Adaptive confidence intervals for the tail coefficient in a wide second order class of Pareto models
Alexandra Carpentier
Arlene K. H. Kim
416
4
0
10 Dec 2013
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
566
165
0
16 Oct 2013
Honest and adaptive confidence sets in Lp
Honest and adaptive confidence sets in Lp
Alexandra Carpentier
280
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On adaptive posterior concentration rates
On adaptive posterior concentration rates
M. Hoffmann
Judith Rousseau
Johannes Schmidt-Hieber
387
86
0
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Testing the regularity of a smooth signal
Testing the regularity of a smooth signal
Alexandra Carpentier
320
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0
09 Apr 2013
Anti-concentration and honest, adaptive confidence bands
Anti-concentration and honest, adaptive confidence bands
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
461
180
0
28 Mar 2013
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
668
363
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30 Jan 2013
Confidence sets in sparse regression
Confidence sets in sparse regression
Richard Nickl
Sara van de Geer
497
113
0
07 Sep 2012
A robust, adaptive M-estimator for pointwise estimation in
  heteroscedastic regression
A robust, adaptive M-estimator for pointwise estimation in heteroscedastic regression
M. Chichignoud
Johannes Lederer
580
16
0
18 Jul 2012
Adaptive confidence bands in the nonparametric fixed design regression
  model
Adaptive confidence bands in the nonparametric fixed design regression model
Pierre-Yves Massé
William Meiniel
398
2
0
17 Jul 2012
Adaptive confidence sets in L^2
Adaptive confidence sets in L^2
Adam D. Bull
Richard Nickl
396
48
0
23 Nov 2011
Honest adaptive confidence bands and self-similar functions
Honest adaptive confidence bands and self-similar functions
Adam D. Bull
288
69
0
22 Oct 2011
Plug-in Approach to Active Learning
Plug-in Approach to Active Learning
Stanislav Minsker
380
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