Prior probabilities
ET Jaynes - IEEE Transactions on systems science and …, 1968 - ieeexplore.ieee.org
… needed to translate prior information into a definite prior probability assignment. For many …
the use of prior probabilities altogether, except in the case where the prior informationcoInsists …
the use of prior probabilities altogether, except in the case where the prior informationcoInsists …
Prior probability and uncertainty
R Kashyap - IEEE Transactions on information theory, 1971 - ieeexplore.ieee.org
… Our aim is to assign a prior probability density b(A) for A using all the available knowledge
so … We derive an asymptotic expression for the prior density, work out a few examples, and …
so … We derive an asymptotic expression for the prior density, work out a few examples, and …
The use of prior probability distributions in statistical inference and decisions
DV Lindley - … on Mathematical Statistics and Probability, Volume 1 …, 1961 - projecteuclid.org
… statistical problems when a prior probability distribution is used. … problem where the effect
of the prior distribution is small and the … Here the prior distribution is important and much of the …
of the prior distribution is small and the … Here the prior distribution is important and much of the …
An invariant form for the prior probability in estimation problems
H Jeffreys - Proceedings of the Royal Society of London …, 1946 - royalsocietypublishing.org
… , in spite of all efforts, probabilities found in different ways are … probabilities of qxand q2, given
the same prior probabilities, … that the product rule for probabilities holds for the likelihoods, …
the same prior probabilities, … that the product rule for probabilities holds for the likelihoods, …
The use of prior probabilities in maximum likelihood classification of remotely sensed data
AH Strahler - Remote sensing of Environment, 1980 - Elsevier
… prior probabilities are incorporated by modifying the maximum likelihood decision rule employed
in a Bayesian-type classifier to calculate a poster/or/ probabilities … of prior probabilities (…
in a Bayesian-type classifier to calculate a poster/or/ probabilities … of prior probabilities (…
Approximation of improper prior measures by prior probability measures
C Stein - Bernoulli 1713 Bayes 1763 Laplace 1813: Anniversary …, 1965 - Springer
… In section 2 we introduce a distance between probability … We then define the separation of
one prior probability measure, … 2> as the prior distribution when Il(l) is the true prior distribution. …
one prior probability measure, … 2> as the prior distribution when Il(l) is the true prior distribution. …
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
M Saerens, P Latinne, C Decaestecker - Neural computation, 2002 - ieeexplore.ieee.org
… In supervised classification tasks, sometimes the a priori probabilities of the classes from
a training set do not reflect the “true” a priori probabilities of real-world data, on which the …
a training set do not reflect the “true” a priori probabilities of real-world data, on which the …
[PDF][PDF] Marginalization and prior probabilities
ET Jaynes, A Zellner - A. Zellner (ed.), 1978 - bayes.wustl.edu
… prior information. As Jeffreys (1939) stressed, to avoid ambiguities the prior information (or
hypotheses) on which our probabilities … right of the stroke in our probability symbols p(A|B). …
hypotheses) on which our probabilities … right of the stroke in our probability symbols p(A|B). …
Equal prior probabilities: can one do any better?
A Biedermann, F Taroni, P Garbolino - Forensic Science International, 2007 - Elsevier
… of prior probabilities that underlie recent, but in no way novel, proposals of presenting scientific
evidence in terms of posterior probabilities, … should consider the prior probabilities of the …
evidence in terms of posterior probabilities, … should consider the prior probabilities of the …
Bias in the brain: a diffusion model analysis of prior probability and potential payoff
… In these versions we manipulated bias by changing the prior probability or the potential
payoff for one of the alternatives. Subjects performed the task inside and outside a 3T MRI …
payoff for one of the alternatives. Subjects performed the task inside and outside a 3T MRI …