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Estimating parameters by frequentist and Bayesian approaches

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posted on 15.12.2021, 22:40 by Mike E. Goddard, RUIDONG XIANGRUIDONG XIANG, Fazel AlmasiFazel Almasi
Frequentists estimate parameters by choosing the value that maximises the likelihood of the data. The Bayesian approach assumes that the unknown value of a parameter is drawn from a prior distribution and it can be estimated by the mean of the distribution of the parameter conditional on the data. The Bayesian approach is often superior if a rational prior distribution is known.

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Intellectual Climate Fund

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  • School of Life Sciences

Publication Date

16/12/2021

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The Author reserves all moral rights over the deposited item and must be credited if any re-use occurs.

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