Average Marginal Effects in One-Step Partially Linear Instrumental Regressions
Fuente:
arXiv
Saved in:
| Main Authors: | Girard, Lucas, Lapenta, Elia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Minimax Theory of Nonparametric Regression Under Covariate Shift
by: Zamolodtchikov, Petr
Published: (2026)
by: Zamolodtchikov, Petr
Published: (2026)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025)
by: Gharbi, Rihab, et al.
Published: (2025)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, et al.
Published: (2024)
Unlocking the Regression Space
by: Giraitis, Liudas, et al.
Published: (2025)
by: Giraitis, Liudas, et al.
Published: (2025)
Identifying arbitrary transformation between the slopes in scalar-on-function regression
by: Niyogi, Pratim Guha, et al.
Published: (2024)
by: Niyogi, Pratim Guha, et al.
Published: (2024)
Proper Correlation Coefficients for Nominal Random Variables
by: Wermuth, Jan-Lukas
Published: (2025)
by: Wermuth, Jan-Lukas
Published: (2025)
Generalized Bayes in Conditional Moment Restriction Models
by: Kankanala, Sid
Published: (2025)
by: Kankanala, Sid
Published: (2025)
Dirichlet kernel density estimation on the simplex with missing data
by: Daayeb, Hanen, et al.
Published: (2026)
by: Daayeb, Hanen, et al.
Published: (2026)
Nonparametric Regression for Random Unbiased Perturbations
by: Lyubarskaja, Anna, et al.
Published: (2025)
by: Lyubarskaja, Anna, et al.
Published: (2025)
Estimating a regression function under possible heteroscedastic and heavy-tailed errors. Application to shape-restricted regression
by: Baraud, Yannick, et al.
Published: (2025)
by: Baraud, Yannick, et al.
Published: (2025)
Single-index models for extreme value index regression
by: Yoshida, Takuma
Published: (2022)
by: Yoshida, Takuma
Published: (2022)
Asymptotic theory for extreme value generalized additive models
by: Yoshida, Takuma
Published: (2023)
by: Yoshida, Takuma
Published: (2023)
Batch learning equals online learning in Bayesian supervised learning
by: Lê, Hông Vân
Published: (2025)
by: Lê, Hông Vân
Published: (2025)
Can we have it all? Non-asymptotically valid and asymptotically exact confidence intervals for expectations and linear regressions
by: Derumigny, Alexis, et al.
Published: (2025)
by: Derumigny, Alexis, et al.
Published: (2025)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Functional Extreme-PLS
by: Girard, Stéphane, et al.
Published: (2024)
by: Girard, Stéphane, et al.
Published: (2024)
Ill-Conditioned Orthogonal Scores in Double Machine Learning
by: Saco, Gabriel
Published: (2025)
by: Saco, Gabriel
Published: (2025)
Nonparametric density estimation for stationary processes under multiplicative measurement errors
by: Dang, Duc Trong, et al.
Published: (2024)
by: Dang, Duc Trong, et al.
Published: (2024)
Noise-resilient penalty operators based on statistical differentiation schemes
by: Vidal, Marc, et al.
Published: (2026)
by: Vidal, Marc, et al.
Published: (2026)
Strong consistency of the local linear estimator for a generalized regression function with dependent functional data
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
by: Matsuoka, Danilo Hiroshi, et al.
Published: (2026)
One-step smoothing splines instrumental regression
by: Beyhum, Jad, et al.
Published: (2023)
by: Beyhum, Jad, et al.
Published: (2023)
On Efficient Inference of Causal Effects with Multiple Mediators
by: Wei, Haoyu, et al.
Published: (2024)
by: Wei, Haoyu, et al.
Published: (2024)
Semi-functional partial linear regression with measurement error: An approach based on $k$NN estimation
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators
by: Ouimet, Frédéric
Published: (2026)
by: Ouimet, Frédéric
Published: (2026)
Change-Point Analysis of Time Series with Evolutionary Spectra
by: Casini, Alessandro, et al.
Published: (2021)
by: Casini, Alessandro, et al.
Published: (2021)
Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)
by: Zhang, Yikun, et al.
Published: (2025)
Robust Tail Index Estimation under Random Censoring via Minimum Density Power Divergence
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
by: Guesmia, Nour Elhouda, et al.
Published: (2025)
Robust and Smooth Estimation of the Extreme Tail Index via Weighted Minimum Density Power Divergence
by: Mancer, Saida, et al.
Published: (2025)
by: Mancer, Saida, et al.
Published: (2025)
IAPO estimators in Exponentiated Frechet case
by: Jordanova, Pavlina, et al.
Published: (2025)
by: Jordanova, Pavlina, et al.
Published: (2025)
Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence
by: Halkiewicz, Stanisław M. S.
Published: (2026)
by: Halkiewicz, Stanisław M. S.
Published: (2026)
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
by: Kroll, Martin
Published: (2025)
by: Kroll, Martin
Published: (2025)
Dirichlet kernel density estimation for strongly mixing sequences on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)
by: Hoang, Van Ha, et al.
Published: (2025)
Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
by: Cabral, Rafael, et al.
Published: (2024)
by: Cabral, Rafael, et al.
Published: (2024)
Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)
by: Yang, Haoyi, et al.
Published: (2025)
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Frame-constrained Total Variation Regularization for White Noise Regression
by: del Álamo, Miguel, et al.
Published: (2018)
by: del Álamo, Miguel, et al.
Published: (2018)
Nonparametric Empirical Bayes Estimation on Heterogeneous Data
by: Banerjee, Trambak, et al.
Published: (2020)
by: Banerjee, Trambak, et al.
Published: (2020)
Similar Items
-
A Minimax Theory of Nonparametric Regression Under Covariate Shift
by: Zamolodtchikov, Petr
Published: (2026) -
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024) -
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025) -
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024) -
Unlocking the Regression Space
by: Giraitis, Liudas, et al.
Published: (2025)