In this paper we derive computable expressions for the likelihood ratio for Gaussian processes with a discrete two-dimensional parameter domain (for instance, an image). A general formula for the likelihood ratio can be easily derived, but becomes inefficient if the number of elements in the paramet
โฆ LIBER โฆ
The marginal likelihood for parameters in a discrete Gauss-Markov process
โ Scribed by Bell, B.M.
- Book ID
- 118690591
- Publisher
- IEEE
- Year
- 2000
- Tongue
- English
- Weight
- 153 KB
- Volume
- 48
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
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