✦ LIBER ✦

Minimum Mean Squared Error Estimation of the Noise in Unobserved Component Models

✍ Scribed by Agustín Maravall

Book ID: 124696974
Publisher: American Statistical Association
Year: 1987
Tongue: English
Weight: 218 KB
Volume: 5
Category: Article
ISSN: 0735-0015
DOI: 10.2307/1391221

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation in Gaussian Noise: Properties

Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error

✍ Dongning Guo; Yihong Wu; Shamai, S.; Verdú, S. 📂 Article 📅 2011 🏛 IEEE 🌐 English ⚖ 399 KB

Estimation of the Minimum Mean Square Er

Estimation of the Minimum Mean Square Error of Prediction

✍ G. Janacek 📂 Article 📅 1975 🏛 Oxford University Press 🌐 English ⚖ 521 KB

Minimum mean-squared error of estimates

Minimum mean-squared error of estimates in quantum statistics

✍ C.W. Helstrom 📂 Article 📅 1967 🏛 Elsevier Science 🌐 English ⚖ 106 KB

Mean squared error efficient estimators

Mean squared error efficient estimators of the variance components

✍ K. R. Lee; C. H. Kapadia 📂 Article 📅 1992 🏛 Springer 🌐 English ⚖ 195 KB

Minimum mean squared error estimation of

Minimum mean squared error estimation of each individual coefficient in a linear regression model

✍ Kazuhiro Ohtani 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 653 KB

Minimum mean square error estimation of

Minimum mean square error estimation of connectivity in biological neural networks

✍ X. Yang; Shihab A. Shamma 📂 Article 📅 1991 🏛 Springer-Verlag 🌐 English ⚖ 755 KB

A minimum mean square error (MMSE) estimation scheme is employed to identify the synaptic connectivity in neural networks. This new approach can substantially reduce the amount of data and the computational cost involved in the conventional correlation methods, and is suitable for both nonstationary