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Adaptive estimation in the linear random coefficients model when
  regressors have limited variation
v1v2v3v4 (latest)

Adaptive estimation in the linear random coefficients model when regressors have limited variation

16 May 2019
C. Gaillac
Eric Gautier
ArXiv (abs)PDFHTML

Papers citing "Adaptive estimation in the linear random coefficients model when regressors have limited variation"

5 / 5 papers shown
Title
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
H. Holzmann
A. Meister
142
1
0
17 Feb 2025
Bounded support in linear random coefficient models: Identification and
  variable selection
Bounded support in linear random coefficient models: Identification and variable selection
P. Hermann
H. Holzmann
20
0
0
07 Jul 2021
Nonparametric classes for identification in random coefficients models
  when regressors have limited variation
Nonparametric classes for identification in random coefficients models when regressors have limited variation
C. Gaillac
Eric Gautier
18
1
0
25 May 2021
Relaxing monotonicity in endogenous selection models and application to
  surveys
Relaxing monotonicity in endogenous selection models and application to surveys
Eric Gautier
35
6
0
19 Jun 2020
Rate-optimal nonparametric estimation for random coefficient regression
  models
Rate-optimal nonparametric estimation for random coefficient regression models
H. Holzmann
A. Meister
50
9
0
14 Feb 2019
1