Empirical likelihood based hypothesis testing
By John H. J. Einmahl, Ian W. McKeague. 2003
116 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c478993c32a7b36a70c948d97cf79cac1ea35312
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Zhaojun Wang
- I. Van Keilegom
- Nicolas Vayatis
- Janet Chaseling
- Laurent Oudre
- Peng Qin
- Ricardo Cao Abad
- Michael Steele
In Statistics and Probability
- Changliang Zou
- Zhaojun Wang
- I. Van Keilegom
- Nicolas Vayatis
- Janet Chaseling
- Laurent Oudre
- Peng Qin
- Ricardo Cao Abad
Citations in the corpus
- A review of change point detection methods (2018, methodology): “ategy was rst introduced to design non-parametric two-sample statistical tests, which were experimentally shown to be more powerful than classical tests such as Kolmogorov-Smirnov and Cramr-von Mises [86, 88]. Cost function 9 (cFb). The cost function cFb is given by cFb(ya::b) := (b a) XT u=1 Fb a::”
- Empirical likelihood ratio test for the change-point problem (2007, methodology): “An omnibus nonparametric test is developed by Einmahl and McKeague (2003) also using the empirical likelihood idea, however, the estimator of change-point is not given.”
- Empirical likelihood tests for two-sample problems via nonparametric density estimation (2006, methodology): “…McKeague and Zhao (1996) (confidence band for the ratio of two survival functions), Einmahl and McKeague (1999) (confidence tubes for QQ-plots), Einmahl and McKeague (2003) (comparison of the distribution of two populations) and Claeskens, Jing, Peng and Zhou (2003) (point and interval…”
- Powers of Discrete Goodness-of-Fit Test Statistics for a Uniform Null Against a Selection of Alternative Distributions (2006, background): “Recent advancements of the test statistics for continuous distributions can be found in Zhang (2002) and Einmahl and McKeague (2003).”
- Selective review of offline change point detection methods (2020, methodology): “Non-parametric maximum likelihood 474 The first non-parametric cost function example, denoted cF̂ , has been intro475 duced for the single change point detection problem in [87] and extended for 476 multiple change points in [88].”