Functional regression of continuous state distributions
By Joon Y. Park, J. Qian. 2012
49 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0359c77b6bdaf43124ddd6463c6d896883a4947f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Yoosoon Chang
- M. Carrasco
- Jean-Pierre Florens
- Joon Y. Park
- David Benatia
- C. Kim
- Giuseppe Cavaliere
- Alan M. Taylor
In Statistics and Probability
- M. Carrasco
- Jean-Pierre Florens
- Yoosoon Chang
- David Benatia
- Joon Y. Park
- C. Kim
- Juan-Carlos Escanciano
- Arthur Lewbel
Citations in the corpus
- Nonstationarity in time series of state densities (2016, background): “The reader is also referred to Park and Qian (2012) for the statistical theory of stationary regression with state densities defined similarly as in our paper.”
- Functional linear regression with functional response (2017, methodology): “…(2005) rely on scatterplot smoothing to compute ̂jl in (17) and use leave-one-out cross-validation to select the number of included eigenfunctions J and L. Park and Qian (2012) and Crambes and Mas (2013) use a slightly di¤erent estimator: ̂ (s; t) = 1 n nX i=1 JX j=1 D Zi; ̂j E ̂j ̂j (s)Yi…”