<p>Bayesian posterior distributions for all of the parameters included in the ultimate model with vague priors. All priors were defined as normal distributions with a mean of 0 and a variance large enough to not influence the posterior distribution for that parameter. Red indicates the model with both data and priors and blue indicates the prior-only model.</p
Bayesian priors, priors for location-scale regression models, priors for transformed linear models, ...
(A) mortality salience, (B) cards, (C) both manipulations. Red distribution is the prior probability...
In this paper a new type of prior is proposed that could be suitable in the context of model selecti...
Symbols correspond to symbols used in Fig 1. All units except percents are years-1. Original values ...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
The reference priors, initiated in Bernardo (1979) and further developed in Berger and Bernardo (199...
Priors for the logistic regression model, the zero-inflated negative binomial model, and the negativ...
Top: Prior distribution used for the intercept parameter β0 (Eq 12), which represents persons with n...
© 2015 Elsevier B.V. All rights reserved. Bayesian estimators are developed and compared with the ma...
<p>The posterior distributions of for = 1, …, 5 SNP, respectively, under the Bayesian unconditiona...
Fig 11 shows the posterior distribution for the experimental data set, based on an acceptance rate o...
In a Bayesian analysis the statistician must specify prior densities for the model parameters. If he...
Given a probabilistic model Y ∼ `(y|x), x ∈ X where `(y|x) denotes a parameterized density known as ...
The choice of prior distributions for the variances can be important and quite difficult in Bayesian...
Mean and standard deviation (in parentheses) of the Bayesian posterior with four concentration prior...
Bayesian priors, priors for location-scale regression models, priors for transformed linear models, ...
(A) mortality salience, (B) cards, (C) both manipulations. Red distribution is the prior probability...
In this paper a new type of prior is proposed that could be suitable in the context of model selecti...
Symbols correspond to symbols used in Fig 1. All units except percents are years-1. Original values ...
The posterior predictive distribution is the distribution of future observations, conditioned on the...
The reference priors, initiated in Bernardo (1979) and further developed in Berger and Bernardo (199...
Priors for the logistic regression model, the zero-inflated negative binomial model, and the negativ...
Top: Prior distribution used for the intercept parameter β0 (Eq 12), which represents persons with n...
© 2015 Elsevier B.V. All rights reserved. Bayesian estimators are developed and compared with the ma...
<p>The posterior distributions of for = 1, …, 5 SNP, respectively, under the Bayesian unconditiona...
Fig 11 shows the posterior distribution for the experimental data set, based on an acceptance rate o...
In a Bayesian analysis the statistician must specify prior densities for the model parameters. If he...
Given a probabilistic model Y ∼ `(y|x), x ∈ X where `(y|x) denotes a parameterized density known as ...
The choice of prior distributions for the variances can be important and quite difficult in Bayesian...
Mean and standard deviation (in parentheses) of the Bayesian posterior with four concentration prior...
Bayesian priors, priors for location-scale regression models, priors for transformed linear models, ...
(A) mortality salience, (B) cards, (C) both manipulations. Red distribution is the prior probability...
In this paper a new type of prior is proposed that could be suitable in the context of model selecti...