| 1. | For this purpose, the approptiate likelihood function should be used.
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| 2. | This is equivalent to minimizing the negative log-likelihood function:
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| 3. | There is no conjugate prior of the likelihood function in logistic regression.
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| 4. | Also, CUSUM does not require the use of the likelihood function.
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| 5. | What is maximum likelihood function for fractal brownian motion?
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| 6. | ABC methods bypass the evaluation of the likelihood function.
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| 7. | In general, maximum likelihood estimation requires that a likelihood function be defined.
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| 8. | The log-likelihood function for the Cauchy distribution for sample size n is:
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| 9. | Two likelihood functions are equivalent if one is a scalar multiple of the other.
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| 10. | Given a choice for x _ \ min, the log likelihood function becomes:
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