Bayesian methods can be used to deal with uncertainty.
Here are some links that help to explore the area:
Bayesian Inference
Empirical Bayes
Hierarchal Bayes
Bayesian Network
Bayes' theorem
Statistics Topics
Expected Value
Likelihood
Mean
Variance
Mean Squared Error (MSE)
Posterior Probability
Conditional, Joint, and Marginal Probability
Utility Functions (Link 2)
Distributions
Normal
Gamma
Poisson
Beta
Binomial
Conjugate Prior
Other Related Topics
Markov Chain Monte Carlo (MCMC)
Simulated Annealing
Tabu Search (Link 2)
Kalman Filter (Link 2)
Particle Filter
Directed Acyclic Graphs (DAG)
Markovian Random Field (MRF)
EM Algorithm (Bayesian Structural EM - Friedman)
Reading List of Bayesian Methods
Helpful Software
JavaBayes
Graphviz
Useful Java Libraries
Colt
Tomato
This blog focuses on the relationships that connect us together providing potent insights for decision makers. In addition, a few data mining topics are presented.
Tuesday, June 14, 2005
Exploring Bayesian Methods
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