SEMIPARAMETRIC EFFICIENCY BOUND IN TIME-SERIES MODELS FOR CONDITIONAL QUANTILES
By Ivana Komunjer, Q. Vuong. 2009
28 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Jean-Pierre Florens
- M. Carrasco
- Christian Hansen
- S. Chen
- Liangjun Su
- Jushan Bai
- Serena Ng
- Halbert White
In Statistics and Probability
- M. Carrasco
- Jean-Pierre Florens
- Juan-Carlos Escanciano
- Arthur Lewbel
- Xiaohong Chen
- Nathan Kallus
- S. Bonhomme
- Masatoshi Uehara
Citations in the corpus
- Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning (2019, neutral): “For simplicity and since this question is tangential to our work, similarly to Komunjer and Vuong (2010) and in the spirit of Stein (1956), we simply take Eq.”
- ON THE ASYMPTOTIC EFFICIENCY OF GMM (2013, background): “Komunjer and Vuong (2010) derive the semiparametric efficiency bound for quantile models in time series.”
- Efficiently Breaking the Curse of Horizon: Double Reinforcement Learning in Infinite-Horizon Processes (2019, unknown): “For simplicity and since this question is tangential to our work, similarly to Komunjer and Vuong (2010) and in the spirit of Stein (1956), we simply take Eq.”