Using Bayesian Hierarchical Modeling and DataShop to Inform Parameter Estimation with the Predictive Performance Equation.
Michael G. CollinsKevin A. GluckPublished in: CogSci (2018)
Keyphrases
- parameter estimation
- maximum likelihood
- posterior distribution
- least squares
- markov random field
- statistical models
- em algorithm
- bayesian model selection
- markov chain monte carlo
- random fields
- model selection
- parameter values
- parameter estimation algorithm
- maximum likelihood estimation
- model fitting
- expectation maximization
- approximate inference
- metropolis hastings algorithm
- parameter estimates
- parameters estimation
- gibbs sampling
- decision theory
- state space
- position estimation
- bayesian inference
- remote sensing
- particle physics