Adaptive Gaussian Inverse Regression with Partially Unknown Operator
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Note: In : Communications in Statistics - Theory and Methods, vol. 42, no. 7, p. 1343-1362 (2013)
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Cited by:
- Xiaohong Chen & Timothy Christensen, 2013.
"Optimal Sup-norm Rates, Adaptivity and Inference in Nonparametric Instrumental Variables Estimation,"
Cowles Foundation Discussion Papers
1923R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
- Xiaohong Chen & Timothy M. Christensen, 2015. "Optimal sup-norm rates, adaptivity and inference in nonparametric instrumental variables estimation," CeMMAP working papers CWP32/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jan Johannes & Anna Simoni & Rudolf Schenk, 2020.
"Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models,"
Annals of Economics and Statistics, GENES, issue 137, pages 83-116.
- Johannes, Jan & Simoni, Anna & Schenk, Rudolf, 2015. "Adaptive Bayesian estimation in indirect Gaussian sequence space models," LIDAM Discussion Papers ISBA 2015003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Dr. Prof. Jan Johannes & Dr. Anna Simoni & Dr. Schenk, 2020. "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Post-Print hal-02903256, HAL.
- Xiaohong Chen & Timothy M. Christensen, 2015. "Optimal sup-norm rates, adaptivity and inference in nonparametric instrumental variables estimation," CeMMAP working papers 32/15, Institute for Fiscal Studies.
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