✦ LIBER ✦

A hybrid likelihood algorithm for risk modelling

✍ Scribed by A. M. Kellerer; M. Kreisheimer; D. Chmelevsky; D. Barclay

Book ID: 105119550
Publisher: Springer-Verlag
Year: 1995
Tongue: English
Weight: 803 KB
Volume: 34
Category: Article
ISSN: 0301-634X
DOI: 10.1007/bf01210540

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A hybrid EM/Gauss-Newton algorithm for m

A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions

✍ Murray Aitkin; Irit Aitkin 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 344 KB

A faster alternative to the EM algorithm in finite mixture distributions is described, which alternates EM iterations with Gauss Newton iterations using the observed information matrix. At the expense of modest additional analytical effort in obtaining the observed information, the hybrid algorithm

A likelihood-based constrained algorithm

A likelihood-based constrained algorithm for multivariate normal mixture models

✍ Salvatore Ingrassia 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 192 KB

Entropy-type classification maximum like

Entropy-type classification maximum likelihood algorithms for mixture models

✍ Chien-Yo Lai; Miin-Shen Yang 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 573 KB

A hybrid algorithm for TSP

✍ Huang Zhangcan; Lu Kuang 📂 Article 📅 1996 🏛 Wuhan University 🌐 English ⚖ 266 KB

A hybrid evolutionary algorithm for tuni

A hybrid evolutionary algorithm for tuning a cloth-simulation model

✍ D. Mongus; B. Repnik; M. Mernik; B. Žalik 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 648 KB

Accelerating hybrid stochastic algorithm

Accelerating hybrid stochastic algorithm for spin models

✍ John B. Kogut 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 771 KB