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Optimal inference in a class of regression models
v1v2v3v4 (latest)

Optimal inference in a class of regression models

19 November 2015
Timothy B. Armstrong
M. Kolesár
ArXiv (abs)PDFHTML

Papers citing "Optimal inference in a class of regression models"

22 / 22 papers shown
Title
Statistical Inference under Performativity
Statistical Inference under Performativity
Xiang Li
Y. Li
Huiying Zhong
Lihua Lei
Zhun Deng
57
0
0
24 May 2025
Estimating Average Treatment Effects in Regression Discontinuity Designs
  with Covariates under Minimal Assumptions
Estimating Average Treatment Effects in Regression Discontinuity Designs with Covariates under Minimal Assumptions
Patrick Kramer
Alexander Kreiss
40
0
0
13 Oct 2023
Off-policy evaluation beyond overlap: partial identification through
  smoothness
Off-policy evaluation beyond overlap: partial identification through smoothness
Samir Khan
Martin Saveski
J. Ugander
OffRL
87
5
0
19 May 2023
Proximal Causal Learning of Conditional Average Treatment Effects
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup
Yifan Cui
CML
86
6
0
26 Jan 2023
On Uniform Confidence Intervals for the Tail Index and the Extreme
  Quantile
On Uniform Confidence Intervals for the Tail Index and the Extreme Quantile
Yuya Sasaki
Yulong Wang
53
0
0
11 Oct 2022
Higher-Order Asymptotic Properties of Kernel Density Estimator with
  Global Plug-In and Its Accompanying Pilot Bandwidth
Higher-Order Asymptotic Properties of Kernel Density Estimator with Global Plug-In and Its Accompanying Pilot Bandwidth
Shunsuke Imai
Y. Nishiyama
51
0
0
04 Oct 2022
Optimal Decision Rules Under Partial Identification
Optimal Decision Rules Under Partial Identification
Kohei Yata
92
19
0
09 Nov 2021
Evidence Aggregation for Treatment Choice
Evidence Aggregation for Treatment Choice
Takuya Ishihara
T. Kitagawa
OffRL
53
17
0
14 Aug 2021
Trading-off Bias and Variance in Stratified Experiments and in Matching
  Studies, Under a Boundedness Condition on the Magnitude of the Treatment
  Effect
Trading-off Bias and Variance in Stratified Experiments and in Matching Studies, Under a Boundedness Condition on the Magnitude of the Treatment Effect
C. D. Chaisemartin
91
0
0
18 May 2021
Permutation Tests at Nonparametric Rates
Permutation Tests at Nonparametric Rates
Marinho Bertanha
E. Chung
82
9
0
26 Feb 2021
Adaptive Inference in Multivariate Nonparametric Regression Models Under
  Monotonicity
Adaptive Inference in Multivariate Nonparametric Regression Models Under Monotonicity
Koohyun Kwon
S. Kwon
19
2
0
28 Nov 2020
Combining Observational and Experimental Datasets Using Shrinkage
  Estimators
Combining Observational and Experimental Datasets Using Shrinkage Estimators
Evan T. R. Rosenman
Guillaume W. Basse
Art B. Owen
Mike Baiocchi
CML
66
63
0
16 Feb 2020
Smoothness-Adaptive Contextual Bandits
Smoothness-Adaptive Contextual Bandits
Y. Gur
Ahmadreza Momeni
Stefan Wager
74
17
0
22 Oct 2019
An introduction to flexible methods for policy evaluation
An introduction to flexible methods for policy evaluation
M. Huber
CML
69
7
0
01 Oct 2019
Omitted variable bias of Lasso-based inference methods: A finite sample
  analysis
Omitted variable bias of Lasso-based inference methods: A finite sample analysis
Kaspar Wüthrich
Ying Zhu
86
27
0
20 Mar 2019
Minimax Linear Estimation of the Retargeted Mean
Minimax Linear Estimation of the Retargeted Mean
David A. Hirshberg
A. Maleki
J. Zubizarreta
CML
109
38
0
11 Jan 2019
Debiased Inference of Average Partial Effects in Single-Index Models
Debiased Inference of Average Partial Effects in Single-Index Models
David A. Hirshberg
Stefan Wager
CML
53
13
0
06 Nov 2018
Minimax Linear Estimation at a Boundary Point
Minimax Linear Estimation at a Boundary Point
Wayne Yuan Gao
29
3
0
18 Oct 2017
Policy Learning with Observational Data
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CMLOffRL
459
183
0
09 Feb 2017
Impossible Inference in Econometrics: Theory and Applications
Impossible Inference in Econometrics: Theory and Applications
Marinho Bertanha
Marcelo J. Moreira
95
27
0
06 Dec 2016
Simple and Honest Confidence Intervals in Nonparametric Regression
Simple and Honest Confidence Intervals in Nonparametric Regression
Timothy B. Armstrong
M. Kolesár
75
82
0
03 Jun 2016
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric
  Inference
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference
Sebastian Calonico
M. D. Cattaneo
M. Farrell
100
324
0
12 Aug 2015
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