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Adaptive confidence intervals for regression functions under shape
  constraints

Adaptive confidence intervals for regression functions under shape constraints

24 May 2013
T. Tony Cai
Mark G. Low
Yin Xia
ArXiv (abs)PDFHTML

Papers citing "Adaptive confidence intervals for regression functions under shape constraints"

15 / 15 papers shown
Title
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
Zeqi Ye
Hansheng Jiang
48
1
0
11 Oct 2023
Bayesian Inference for Multivariate Monotone Densities
Bayesian Inference for Multivariate Monotone Densities
Kang-Kang Wang
S. Ghosal
58
1
0
08 Jun 2023
Estimation and inference for minimizer and minimum of convex functions:
  optimality, adaptivity and uncertainty principles
Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles
T.Tony Cai
Ran Chen
Yuancheng Zhu
17
0
0
29 Apr 2023
Transfer Learning for Contextual Multi-armed Bandits
Transfer Learning for Contextual Multi-armed Bandits
Changxiao Cai
T. Tony Cai
Hongzhe Li
127
19
0
22 Nov 2022
Coverage of Credible Intervals in Bayesian Multivariate Isotonic
  Regression
Coverage of Credible Intervals in Bayesian Multivariate Isotonic Regression
Kangkang Wang
S. Ghosal
89
7
0
22 Nov 2022
An imprecise-probabilistic characterization of frequentist statistical
  inference
An imprecise-probabilistic characterization of frequentist statistical inference
Ryan Martin
60
56
0
20 Dec 2021
Adaptive Inference in Multivariate Nonparametric Regression Models Under
  Monotonicity
Adaptive Inference in Multivariate Nonparametric Regression Models Under Monotonicity
Koohyun Kwon
S. Kwon
14
2
0
28 Nov 2020
Inference for local parameters in convexity constrained models
Inference for local parameters in convexity constrained models
Hang Deng
Q. Han
B. Sen
49
8
0
18 Jun 2020
Adaptive Sampling for Convex Regression
Adaptive Sampling for Convex Regression
Max Simchowitz
Kevin Jamieson
Jordan W. Suchow
Thomas Griffiths
69
4
0
14 Aug 2018
Concave regression: value-constrained estimation and likelihood
  ratio-based inference
Concave regression: value-constrained estimation and likelihood ratio-based inference
Charles R. Doss
65
3
0
24 May 2018
On the frequentist validity of Bayesian limits
On the frequentist validity of Bayesian limits
B. Kleijn
50
15
0
25 Nov 2016
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
38
3
0
21 Jan 2016
Optimal inference in a class of regression models
Optimal inference in a class of regression models
Timothy B. Armstrong
M. Kolesár
427
127
0
19 Nov 2015
Adaptive estimation of planar convex sets
Adaptive estimation of planar convex sets
Tony Cai
Adityanand Guntuboyina
Yuting Wei
33
6
0
15 Aug 2015
Adaptive testing on a regression function at a point
Adaptive testing on a regression function at a point
Timothy B. Armstrong
167
20
0
15 Aug 2014
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