Heteroscedasticity‐robust Cp model averaging
By Qingfeng Liu, Ryo Okui. 2012
150 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2ec5580e6a8b5072deda35882774124f4b5c9fbe
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
In Statistics and Probability
- Giuseppe De Luca
- J. R. Magnus
- Mark F. J. Steel
- L. Wolstenholme
- B. Hansen
- Hal Caswell
- Xinyu Zhang
- D. Danilov
Citations in the corpus
- INFERENCE AFTER MODEL AVERAGING IN LINEAR REGRESSION MODELS (2018, unknown): “6 Note that both Lu (2015), and DiTraglia (2016) propose a two-step algorithm to construct the simulation-based confidence intervals since they need to construct a confidence region for the local parameters first.”
- Weighted‐Average Least Squares (WALS): A Survey (2016, background): “…(2012) and Zhang et al. (2013b) developed jackknife model-average estimators which are asymptotically optimal under heteroskedastic and serially correlated errors, while Liu and Okui (2013) and Liu et al. (2013) extended the MMA estimator of Hansen (2007) to models with heteroskedastic errors.”
- A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model (2018, unknown): “In the model averaging literature, the true model is commonly assumed to be infinite dimensional (Hansen 2007; Lu and Su 2015).”