Bayesian inference for hierarchical mixtures-of-experts with applications to regression and classification

Keyphrases

• Bayesian Inference 100%
• Hierarchical Mixture of Experts 100%
• Statistical Model 25%
• Performance Prediction 25%
• Markov Chain Monte Carlo Methods 25%
• Point Estimate 25%
• Generalized Linear Model 25%
• Regression Problem 25%
• Bayesian Approach 25%
• Mixture Components 25%
• Breast Cancer Classification 25%
• Mixture Model 25%
• Degree of Certainty 25%
• Posterior Distribution 25%
• Nonlinear Regression 25%
• Classification Problem 25%

Mathematics

• Bayesian Inference 100%
• Mixture Of Experts 100%
• Mixture Model 25%
• Posterior Distribution 25%
• Markov Chain Monte Carlo Method 25%
• Generalized Linear Model 25%
• Bayesian Approach 25%
• Statistical Model 25%
• Point Estimate 25%
• Nonlinear Regression 25%
• Classification Problem 25%