Order Selection in Finite Mixture Models With a Nonsmooth Penalty

By Jiahua Chen, Abbas Khalili. 2008

77 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f8da8bf3b153262cfe28864edfff80f35970423b

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

1. Hiroyuki Kasahara
2. Katsumi Shimotsu
3. Pengfei Li
4. Yuejiao Fu
5. Jiahua Chen
6. Andrew Sweeting
7. Abbas Khalili

In Statistics and Probability

1. Hiroyuki Kasahara
2. Katsumi Shimotsu
3. Pengfei Li
4. Yuejiao Fu
5. Jiahua Chen
6. Andrew Sweeting

Citations in the corpus

• Testing the Number of Components in Normal Mixture Regression Models (2015, methodology): “Various model selection procedures have been proposed for estimating the number of components in mixture models (see, for example, Henna, 1985; Lindsay and Roeder, 1992; Windham and Cutler, 1992; Roeder, 1994; Chen and Kalbfleisch, 1996; Keribin, 2000; James et al., 2001; Miloslavsky and van der Laa”
• Inference on the Order of a Normal Mixture (2012, methodology): “…order selection procedure for estimating the order of normal mixture model; see Leroux (1992); Richardson and Green (1997); Keribin (2000); Ishwaran, James, and Sun (2001); James, Priebe, and Marchette (2001); Miloslavsky and van der Laan (2003); Woo and Sriram (2006); and Chen and Khalili (2008).”