The even and odd cut polytopes
Discrete Mathematics
Optimization: algorithms and consistent approximations
Optimization: algorithms and consistent approximations
Regular Article: Binary Cumulants
Advances in Applied Mathematics
Generalized beta prior models on fraction defective in reliability test planning
Journal of Computational and Applied Mathematics
| Hi-index | 7.30 |
This manuscript details Bayesian methodology for ''learning by example'', with binary n-sequences encoding the objects under consideration. Priors prove influential; conformable priors are described. Laplace approximation of Bayes integrals yields posterior likelihoods for all n-sequences. This involves the optimization of a definite function over a convex domain-efficiently effectuated by the sequential application of the quadratic program.