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Is completeness necessary? Estimation in nonidentified linear models

Is completeness necessary? Estimation in nonidentified linear models

11 September 2017
Andrii Babii
J. Florens
ArXivPDFHTML

Papers citing "Is completeness necessary? Estimation in nonidentified linear models"

12 / 12 papers shown
Title
Stochastic Optimization Algorithms for Instrumental Variable Regression
  with Streaming Data
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen
Abhishek Roy
Yifan Hu
Krishnakumar Balasubramanian
23
1
0
29 May 2024
Functional Partial Least-Squares: Adaptive Estimation and Inference
Functional Partial Least-Squares: Adaptive Estimation and Inference
Andrii Babii
Marine Carrasco
Idriss Tsafack
11
1
0
16 Feb 2024
Optimal linear prediction with functional observations: Why you can use
  a simple post-dimension reduction estimator
Optimal linear prediction with functional observations: Why you can use a simple post-dimension reduction estimator
Won-Ki Seo
11
0
0
12 Jan 2024
Econometrics of Machine Learning Methods in Economic Forecasting
Econometrics of Machine Learning Methods in Economic Forecasting
Andrii Babii
Eric Ghysels
Jonas Striaukas
14
0
0
21 Aug 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence
  Guarantees without Identification or Closedness
Minimax Instrumental Variable Regression and L2L_2L2​ Convergence Guarantees without Identification or Closedness
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
21
14
0
10 Feb 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
12
14
0
17 Aug 2022
Machine Learning Panel Data Regressions with Heavy-tailed Dependent
  Data: Theory and Application
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application
Andrii Babii
Ryan T. Ball
Eric Ghysels
Jonas Striaukas
10
12
0
08 Aug 2020
Provably Efficient Neural Estimation of Structural Equation Model: An
  Adversarial Approach
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao
You-Lin Chen
Zhuoran Yang
Bo Dai
Zhaoran Wang
Mladen Kolar
8
31
0
02 Jul 2020
High-dimensional mixed-frequency IV regression
High-dimensional mixed-frequency IV regression
Andrii Babii
8
8
0
30 Mar 2020
High-Dimensional Granger Causality Tests with an Application to VIX and
  News
High-Dimensional Granger Causality Tests with an Application to VIX and News
Andrii Babii
Eric Ghysels
Jonas Striaukas
12
98
0
13 Dec 2019
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
16
13
0
09 Nov 2016
Adaptive estimation for some nonparametric instrumental variable models
Adaptive estimation for some nonparametric instrumental variable models
Fabian Dunker
19
7
0
12 Nov 2015
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