Parameter Estimation for Spatio-Temporal Maximum Entropy Distributions: Application to Neural Spike Trains.
Hassan NasserBruno CessacPublished in: Entropy (2014)
Keyphrases
- parameter estimation
- maximum entropy
- random fields
- spatio temporal
- spike trains
- maximum likelihood
- joint distribution
- class conditional
- statistical models
- maximum entropy principle
- model selection
- parameter estimation algorithm
- least squares
- em algorithm
- transformation based learning
- markov models
- expectation maximization
- markov random field
- conditional random fields
- iterative scaling
- image sequences
- minimum cross entropy
- posterior distribution
- higher order
- parameter estimates
- space time
- probability distribution
- principle of maximum entropy
- moving objects