Transcription of Chapter 4 Parameter Estimation - Division of Social …
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Chapter 4 Parameter Estimation - Division of Social …
Chapter 4 Parameter EstimationThus far we have concerned ourselves primarily withprobability theory: what events mayoccur with what probabilities, given a model family and choices for the parameters . This isuseful only in the case where we know the precise model familyand Parameter values for thesituation of interest. But this is the exception, not the rule, for both scientific inquiry andhuman learning & inference. Most of the time, we are in the situation of processing datawhose generative source we are uncertain about. In Chapter 2we briefly covered elemen-tary density Estimation , using relative-frequency Estimation , histograms and kernel densityestimation.
Chapter 4 Parameter Estimation Thus far we have concerned ourselves primarily with probability theory: what events may occur with what probabilities, given a model family and choices for the parameters.
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