Hypothesis testing in mixture regression models
By Hong-Tu Zhu, Heping Zhang. 2004
91 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Spectroscopy, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1f93dcc9942f041528a22858395c2f9ad20e9c3a
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
In Spectroscopy
In Statistics and Probability
Citations in the corpus
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model (2015, methodology): “Zhu and Zhang (2004, 2006) consider a two-group mixture regression model, and suggest a resampling method to carry out the test.”
- Non‐parametric estimation of finite mixtures from repeated measurements (2016, background): “Even in parametric models, the problem of inferring the number of components is non-standard and has not been fully resolved; see, for example, Leroux (1992), Zhu and Zhang (2004) and Woo and Sriram (2006).”
- Fitting mixtures of linear regressions (2010, background): “More recently, Zhu and Zhang [9] established asymptotic theory for”