Nonparametric inference with generalized likelihood ratio tests
By Jianqing Fan, Jiancheng Jiang. 2007
120 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/cf7f3a57f12926daf1e2fcdee57539dd7bbe4559
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Guohua Zou
- Xinyu Zhang
- Hua Liang
- Alan T. K. Wan
- Wenceslao González-Manteiga
- Jianqing Fan
- Yong Zhou
- Rosa M. Crujeiras
Citations in the corpus
- A modern maximum-likelihood theory for high-dimensional logistic regression (2018, background): “In the context of likelihood ratio tests, [44, 46] go beyond parametric inference and explore extensions to infinite-dimensional non-parametric inference problems, for which the MLE might not even exist or might be difficult to derive.”
- A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model (2018, background): “Fan and Huang (2005) also considered inference, and showed that theWilks phenomenon (Fan, Zhang, and Zhang 2001; Fan and Jiang 2007) holds for the profile likelihood ratio statistic, implying that its distribution is independent of unknown parameters.”
- FWDselect : Variable selection algorithm in regression models (2013, unknown): “…of variables are relevant, it would be possible to apply a likelihood ratio test (Neyman and Pearson, 1928) or a F-test type (Seber and Wild, 1989; Seber, 1997) in a parametric framework, or a generalized likelihood ratio test (Fan et al., 2001; Fan and Jiang, 2005, 2007) in a nonparametric one.”
- An updated review of Goodness-of-Fit tests for regression models (2013, methodology): “This testing procedure has been studied by Fan et al. (2001) and more recently by Fan and Jiang (2007), in a survey for Test journal.”
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates (2009, background): “1) reduces to varying-coefficient models, which were originally proposed by Hastie and Tibshirani (1993) and studied by Fan and Zhang (1999), Xia and Li (1999) and Cai, Fan and Li (2000).”
- Bootstrap tests for simple structures in nonparametric time series regression (2008, methodology): “We refer to Fan and Jiang (2007) for an overview on function-based nonparametric tests with the structured alternative hypotheses.”
- The EFM approach for single-index models (2011, background): “Fan and Jiang (2007) gave a recent review about generalized likelihood ratio tests. Bootstrap tests for nonparametric regression, generalized partially linear models and singleindex models have been systematically investigated [see Härdle and Mammen (1993), Härdle, Mammen and Müller (1998), Härdle, ”