| 词汇 | joint-probability |
| 释义 | BETA joint probabilitycollocation in Englishmeanings of jointand probabilityThese words are often used together. Click on the links below to explore the meanings. joint noun[ C ] uk /dʒɔɪnt/ us /dʒɔɪnt/ a place in your body where two bones ... See more at joint probability noun[ C or U ] uk /ˌprɒb.əˈbɪl.ə.ti/ us /ˌprɑː.bəˈbɪl.ə.t̬i/ the level of possibility of something happening or ... See more at probability Examples of joint probabilityjoint probability Shafer shows that lack of in-uence in the probability tree representation as described above is the analogue of conditional independence in jointprobability distributions. In such problems, the posterior distribution is neither a discrete distribution nor a jointprobability density. The associated probabilistic structure defines a jointprobability distribution over these random variables. The representation formally encodes the jointprobability distribution for its domain. For the general case, the technique consists in considering the jointprobability generating function of "indicator" variables. Note that, since these graphs give the jointprobability, the asymptotic value is the probability that there is a payment occuring at that time. Several measures of the jointprobability density between the concentration c and its 'dissipation ', and that between c and its spatial derivatives have been measured. It defines a jointprobability distribution over all possible phrase segmentations and alignments of target language sentences and their translations in the source language. This method is called pseudo-likelihood herein because it actually approximates the joint probability of all the data by the product of marginal probabilities. These new types appear to have no analogue in jointprobability distributions. Under the assumption of independence, this jointprobability is the sum of individual net probabilities of moving out of the non-usenon-pregnant state. This jointprobability is however already given as the individual terms of the sums contained in the theorems above. Let pj(u) be the jointprobability distribution for the new estimates; this results in a probability distribution over the new utility estimates for every action. This approach is based on using the jointprobability of observed phenotypic and genotypic data to determine likelihoods for assigning pairs to each of several specified relationship classes. This approach focuses on maximizing the jointprobability of both the objective function exceeding some value and of all the constraints being satisfied. From Wikipedia This example is from Wikipedia and may be reused under a CC BY-SA license. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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