Model selection for Gaussian mixture models

Mathematics

• Gaussian Mixture Model 87%
• Number of Components 67%
• Model Selection 59%
• Mixture Modeling 42%
• Penalized Likelihood 37%
• Finite Mixture 36%
• Likelihood Methods 33%
• EM Algorithm 32%
• Unknown Parameters 28%
• Data analysis 27%
• Gaussian distribution 25%
• Simulation 18%
• Performance 17%
• Estimate 13%

Business & Economics

• Gaussian Mixture Model 100%
• Model Selection 90%
• EM Algorithm 28%
• Finite Mixture 28%
• Simulation 13%
• Modeling 11%
• Performance 7%