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Bias in the estimation of the mean reversion parameter in continuous time models

✍ Scribed by Jun Yu


Book ID
116636326
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
439 KB
Volume
169
Category
Article
ISSN
0304-4076

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On the design of a continuous-time model
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Modelling of physical processes always involves approximations. This undermodelling, coupled with noisy process data, results in biased frequency response estimates of models. The bias error cannot be eliminated, but can be distributed over frequencies by careful design of the estimator. This paper