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Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment
  Models
v1v2 (latest)

Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models

5 November 2014
Xiaohong Chen
Demian Pouzo
ArXiv (abs)PDFHTML

Papers citing "Sieve Wald and QLR Inferences on Semi/nonparametric Conditional Moment Models"

14 / 14 papers shown
Title
Efficient and Multiply Robust Risk Estimation under General Forms of
  Dataset Shift
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Hongxiang Qiu
E. T. Tchetgen
Yan Sun
OOD
59
7
0
28 Jun 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation
  and Inference Methods for Heterogeneous Causal Effects of Multivalued
  Treatments Under Limited Overlap
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap
Ganesh Karapakula
61
0
0
13 Jan 2023
Inference on Strongly Identified Functionals of Weakly Identified
  Functions
Inference on Strongly Identified Functionals of Weakly Identified Functions
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
114
17
0
17 Aug 2022
Efficient Estimation in NPIV Models: A Comparison of Various Neural
  Networks-Based Estimators
Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
Jiafeng Chen
Xiaohong Chen
E. Tamer
89
10
0
13 Oct 2021
Causal Inference Under Unmeasured Confounding With Negative Controls: A
  Minimax Learning Approach
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
CML
107
70
0
25 Mar 2021
A Projection Framework for Testing Shape Restrictions That Form Convex
  Cones
A Projection Framework for Testing Shape Restrictions That Form Convex Cones
Z. Fang
Juwon Seo
72
12
0
17 Oct 2019
Orthogonal Statistical Learning
Orthogonal Statistical Learning
Dylan J. Foster
Vasilis Syrgkanis
166
174
0
25 Jan 2019
Towards a General Large Sample Theory for Regularized Estimators
Towards a General Large Sample Theory for Regularized Estimators
Michael Jansson
Demian Pouzo
25
3
0
19 Dec 2017
On ill-posedness of nonparametric instrumental variable regression with
  convexity constraints
On ill-posedness of nonparametric instrumental variable regression with convexity constraints
O. Scaillet
63
3
0
15 Dec 2016
Honest Confidence Sets in Nonparametric IV Regression and Other
  Ill-Posed Models
Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models
Andrii Babii
104
13
0
09 Nov 2016
Semiparametric Identification and Fisher Information
Semiparametric Identification and Fisher Information
J. Escanciano
70
10
0
21 Sep 2016
Constrained Conditional Moment Restriction Models
Constrained Conditional Moment Restriction Models
Victor Chernozhukov
Whitney Newey
Andrés Santos
107
27
0
21 Sep 2015
Bootstrap Consistency for Quadratic Forms of Sample Averages with
  Increasing Dimension
Bootstrap Consistency for Quadratic Forms of Sample Averages with Increasing Dimension
Demian Pouzo
116
13
0
11 Nov 2014
Bootstrap confidence sets under model misspecification
Bootstrap confidence sets under model misspecification
V. Spokoiny
M. Zhilova
120
74
0
01 Oct 2014
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