Examples of 'prior distribution' in a sentence
Meaning of "prior distribution"
prior distribution: In statistics, refers to the distribution representing prior beliefs about the probability of different outcomes before taking new data into account
How to use "prior distribution" in a sentence
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prior distribution
Let us start with a uniform prior distribution.
An example is a prior distribution for the temperature at noon tomorrow.
The parameters and their prior distribution.
The prior distribution parameters can be allowed to depend on covariates.
Kriging starts with a prior distribution over functions.
This intuition is ignoring the effect of the prior distribution.
Selection of maximum entropic law of prior distribution of detection signatures probabilities.
This is expressed in terms of a probability distribution known as the prior distribution.
A jeffreys prior distribution for the degree of freedom is obtained and analyzed.
This problem could be solved by setting up a prior distribution on.
A reference prior distribution for the overdispersion parameter is obtained and analyzed.
The beta distribution is frequently used as a conjugate prior distribution in Bayesian statistics.
The prior distribution is called the Jeffreys prior.
The main criticism to Bayesian inference is about the choice of a prior distribution.
We will assume that the prior distribution of r is uniform over the interval.
See also
From a Bayesian point of view, we would regard it as a prior distribution.
In Bayesian inference a prior distribution is the point of departure.
The prior distribution proposed corresponds to the posterior distribution given the experts ' pseudo data.
Such a preliminary probability distribution can serve as a prior distribution in a Bayesian analysis.
The choice of prior distribution is a source of controversy in Bayesian statistics.
Or is it a description of what updating on the prior distribution might yield?
To show that the above prior distribution is a conjugate prior, we can derive the posterior.
In some situations, uniform distributions are used or the prior distribution is defined subjectively.
Now assume that a prior distribution formula 11 over formula 1 exists.
Our approach involves the construction of a covariate-dependent prior distribution on partitions of individuals.
Finding a good prior distribution ( or " prior " ) is a key element to developing an effective model.
Suppose you are localizing another vehicle, and you have a prior distribution that looks as follows.
P ( u ) is a prior distribution of QTL effects.
Let n be an integer… You need a prior distribution on n.
A novel low-rank inducing prior distribution is proposed for each problem.
Thus the Bayesian estimator coincides with the maximum-likelihood estimator for a uniform prior distribution.
A non-informative uniform prior distribution for the model parameters is used.
Accordingly, the estimator of the QTL effects depends on the prior distribution of QTL effects.
Apart from the current available data, a prior distribution of unknown parameters should be assigned.
However, Bayes factors are highly sensitive to the prior distribution of parameters.
Methods for estimating this prior distribution are publicly available . Conclusions.
So Ellis ' knowledge of the area will give us a prior distribution on his location.
However, a Bayesian analysis that uses a more appropriate prior distribution of QTL effects is preferred.
Documentation for SME Server was inherited from the prior distribution maintainers, e-smith and mitel.
Where p ( w ) is a chosen prior distribution.
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Answer nothing without prior confirmation from me
Upon prior consultation with your editor
Relevance of knowledge of prior transfers of security rights
