Regularized estimation for highly multivariate log Gaussian Cox processes.
Achmad ChoiruddinFrancisco Cuevas-PachecoJean-François CoeurjollyRasmus WaagepetersenPublished in: Stat. Comput. (2020)
Keyphrases
- regression model
- total least squares
- multivariate gaussian distribution
- gaussian density
- computational models
- density estimation
- probability density
- least squares
- gaussian mixture model
- regression analysis
- continuous valued
- multivariate time series
- estimation problems
- robust estimation
- generalized likelihood ratio
- multivariate gaussian
- estimation accuracy
- neural network
- maximum likelihood estimation
- image restoration
- medical images
- objective function