Simple approximate MAP inference for Dirichlet processes mixtures

Mathematics

• Maximum a Posteriori 100%
• Dirichlet Process 96%
• Mixture Model 61%
• Bayesian Nonparametrics 48%
• Gibbs Sampling 45%
• Process Model 43%
• Asymptotic Variance 40%
• Clustering 36%
• Resources 36%
• Probabilistic Inference 28%
• Digital Signal Processing 27%
• Mixed Effects 25%
• Hardware 23%
• Performance 22%
• Progression 22%
• Cross-validation 21%
• Nonparametric Model 21%
• Variational Approach 21%
• Asymptotic Methods 21%
• Markov Model 20%
• Health 20%
• Random Effects 19%
• Statistical Model 18%
• Computational Complexity 17%
• Model-based 17%
• Likelihood 16%
• Regression Model 15%
• Modeling 12%
• Range of data 11%
• Demonstrate 11%
• Standards 10%
• Model 6%