Large-scale biophysical parameter estimation in single neurons via constrained linear regression.
Misha AhrensQuentin J. M. HuysLiam PaninskiPublished in: NIPS (2005)
Keyphrases
- parameter estimation
- linear regression
- least squares
- maximum likelihood
- regression problems
- random fields
- regression methods
- model selection
- locally weighted
- statistical models
- model fitting
- maximum likelihood estimation
- em algorithm
- linear models
- parameter estimation algorithm
- markov random field
- posterior distribution
- approximate inference
- linear regression model
- nonlinear regression
- ridge regression
- regression method
- regression trees
- markov chain monte carlo
- computer vision
- square loss
- conditional random fields
- expectation maximization
- similarity measure