Bayes Estimator of Inverse Gaussian Parameters Under General Entropy Loss Function Using Lindley's Approximation.
P. K. SinghSanjay Kumar SinghUmesh SinghPublished in: Commun. Stat. Simul. Comput. (2008)
Keyphrases
- loss function
- maximum likelihood
- bayes rule
- support vector
- convex loss functions
- maximum likelihood estimator
- pairwise
- risk minimization
- special case
- logistic regression
- parameter estimation
- support vector machine
- expectation maximization
- learning to rank
- maximum a posteriori
- regularization term
- decision trees
- similarity measure
- probability density function
- reproducing kernel hilbert space
- stochastic gradient descent
- recursive least squares
- kernel function
- hinge loss
- empirical risk
- least squares