نتایج جستجو برای: نظریه بیز bayes theory
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We present a general framework for representing belief-revision rules and use it to characterize Bayess rule as a classical example and Je¤reys rule as a non-classical one. In Je¤reys rule, the input to a belief revision is not simply the information that some event has occurred, as in Bayess rule, but a new assignment of probabilities to some events. Despite their di¤erences, Bayess and J...
This paper concerns a relationship between Bayes’ inference rule and decision rules from the rough set perspective. In statistical inference based on the Bayes’ rule it is assumed that some prior knowledge (prior probability) about some parameters without knowledge about the data is given first. Next the posterior probability is computed by employing the available data. The posterior probabilit...
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The Bayes factor is an intuitive and principled model selection tool from Bayesian statistics. The Bayes factor quantifies the relative likelihood of the observed data under two competing models, and as such, it measures the evidence that the data provides for one model versus the other. Unfortunately, computation of the Bayes factor often requires sampling-based procedures that are not trivial...
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We study inference in structural models with a jump in the conditional density, where location and size of the jump are described by regression curves. Two prominent examples are auction models, where the bid density jumps from zero to a positive value at the lowest cost, and equilibrium job-search models, where the wage density jumps from one positive level to another at the reservation wage. ...
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