A Cautionary Note on Likelihood Ratio Tests in Mixture Models
By Wilfried Seidel, Karl Mosler, M. Alker. 2000
95 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a25a532e4b8e900b86bd42af285fa073e0b98412
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
- Dimitris Karlis
- Evdokia Xekalaki
- Dankmar Böhning
- Wilfried Seidel
- Aristidis K. Nikoloulopoulos
- Zhaohui Wang
- Xanthi Pedeli
- Marco Alfò
In Statistics and Probability
- Dimitris Karlis
- Evdokia Xekalaki
- Dankmar Böhning
- Wilfried Seidel
- Aristidis K. Nikoloulopoulos
- Zhaohui Wang
- Marco Alfò
- Bettina Grün
Citations in the corpus
- Choosing initial values for the EM algorithm for finite mixtures (2003, methodology): “The method has been used by Seidel et al. (2000a); (f) Moment estimates.”
- A simple nonparametric approach to estimating the distribution of random coefficients in structural models (2016, unknown): “where the first inequality holds by the triangle inequality and (44) and the first equality holds by (44) and by the definition of θ∗r.”
- Editorial: recent developments in mixture models (2003, background): “See Karlis and Xekalaki, 2003(SI), Biernacki et al., 2003(SI), Seidel et al. (2000), or B ohning (2002).”