Distributed estimation of latent parameters in state space models using separable likelihoods.
Murat ÜneyBernard MulgrewDaniel E. ClarkPublished in: ICASSP (2016)
Keyphrases
- state space
- parameter estimation
- parametric models
- maximum likelihood
- statistical models
- free parameters
- distributed systems
- autoregressive
- update equations
- maximum likelihood estimation
- cooperative
- state variables
- prior knowledge
- generative model
- heuristic search
- experimental data
- markov chain
- dynamical systems
- probability density function
- random fields
- peer to peer
- multi agent
- parameter estimates
- analytical models
- physical models
- learning algorithm