Adaptive estimation in the linear random coefficients model when regressors have limited variation
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Publication:2073224
DOI10.3150/21-BEJ1354MaRDI QIDQ2073224
Christophe Gaillac, Eric Gautier
Publication date: 1 February 2022
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1905.06584
Linear inference, regression (62Jxx) Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)
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Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding ⋮ Adaptive estimation in the linear random coefficients model when regressors have limited variation
Cites Work
- Unnamed Item
- Minimal penalty for Goldenshluger-Lepski method
- Prolate spheroidal wave functions of order zero. Mathematical tools for bandlimited approximation
- On adaptive minimax density estimation on \(\mathbb R^d\)
- Inverse problems and high-dimensional estimation. Stats in the Château summer school, Paris, France, August 31 -- September 4, 2009.
- Asymptotic equivalence of functional linear regression and a white noise inverse problem
- Asymptotic equivalence for nonparametric regression with multivariate and random design
- Universal pointwise selection rule in multivariate function estimation
- Prediction in random coefficient regression
- On nonparametric estimation of intercept and slope distributions in random coefficient regression
- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding
- Sparse regularization in limited angle tomography
- Regression in random design and warped wavelets
- Efficient estimation of a density in a problem of tomography.
- Minimum distance estimation in random coefficient regression models
- Multivariate plug-in bandwidth selection
- Tests for qualitative features in the random coefficients model
- Estimates for the SVD of the truncated Fourier transform on \(L^2(\cosh (B|\cdot |))\) and stable analytic continuation
- Adaptive estimation in the linear random coefficients model when regressors have limited variation
- Rate-optimal nonparametric estimation for random coefficient regression models
- The triangular model with random coefficients
- Deconvolving compactly supported densities
- Uniform bounds of prolate spheroidal wave functions and eigenvalues decay
- Nonparametric estimation for stochastic differential equations with random effects
- New adaptive strategies for nonparametric estimation in linear mixed models
- Rates of convergence for nonparametric deconvolution
- Asymptotic behavior of the eigenvalues of certain integral equations. II
- Nonparametric Estimation in Random Coefficients Binary Choice Models
- ON RATE OPTIMALITY FOR ILL-POSED INVERSE PROBLEMS IN ECONOMETRICS
- Data-Driven Density Estimation in the Presence of Additive Noise with unknown Distribution
- A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
- Weighted angle Radon transform: Convergence rates and efficient estimation
- ANALYZING THE RANDOM COEFFICIENT MODEL NONPARAMETRICALLY
- A variational approach to the inversion of truncated Fourier operators
- Asymptotic equivalence for a model of independent non identically distributed observations
- On the best rate of adaptive estimation in some inverse problems
- Random Coefficients on Endogenous Variables in Simultaneous Equations Models
- Specification testing in random coefficient models
- Statistical Inverse Estimation in Hilbert Scales
- Block Thresholding and Sharp Adaptive Estimation in Severely Ill-Posed Inverse Problems
- Stochastic Equations in Infinite Dimensions
- Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications
- Relaxing Monotonicity in Endogenous Selection Models and Application to Surveys
- Introduction to nonparametric estimation