In parameter estimation, we take advantage of the Cramer±Rao lower bound (CRLB) to evaluate the performance of estimation algorithms since the CRLB provides a theoretical upper bound on estimation accuracy. In pattern recognition, the same concept can be quite useful in terms of knowing the point of
Social influence on predictions of simulated stock prices
✍ Scribed by Maria Andersson; Ted Martin Hedesström; Tommy Gärling
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 93 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0894-3257
- DOI
- 10.1002/bdm.625
No coin nor oath required. For personal study only.
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