Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables-Reference-Cited by-同舟云学术

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Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables

Published:2020-05-14 Issue:4 Volume:39 Page:984-1000
ISSN:0735-0015
Container-title:Journal of Business & Economic Statistics
language:en
Short-container-title:Journal of Business & Economic Statistics

Author:

Kozbur Damian¹

Affiliation:

1. Department of Economics, University of Zürich, Zürich, Switzerland

Funder

ETH Postdoctoral Fellowship

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/07350015.2020.1753524

Reference57 articles.

1. Additive Interactive Regression Models: Circumvention of the Curse of Dimensionality

2. Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models

3. Forecasting economic time series using targeted predictors

4. Boosting diffusion indices

5. Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latent Network Structure Learning From High-Dimensional Multivariate Point Processes;Journal of the American Statistical Association;2022-09-07

2. Inference for high-dimensional varying-coefficient quantile regression;Electronic Journal of Statistics;2021-01-01

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