log-likelihood associated with an AR(p) model defined either through
its natural coefficients or through the roots of the associated lag-polynomial
Eurostoxx50 exerpt dataset
Grey-level image of the Lake of Menteith
Bayesian model choice procedure for the linear model
Gibbs sampler for the two-stage open population capture-recapture
model
Metropolis--Hastings evaluation of the posterior associated with an AR(p) model
Gibbs sampling for the Arnason-Schwarz capture-recapture model
Metropolis-Hastings for the Ising model
log-likelihood associated with an MA(p) model
Gibbs sampler for the Ising model
DNA sequence of an HIV genome
Accept-reject algorithm for the open population capture-recapture model
Laiche dataset
European Dipper dataset
Pine processionary caterpillar dataset
bank dataset (Chapter 4)
Non-standardised Licence dataset
Metropolis--Hastings evaluation of the posterior associated with an MA(p) model
Metropolis-Hastings with tempering steps for the mean mixture posterior model
Gibbs sampler on a mixture posterior distribution with unknown means
Metropolis-Hastings for the log-linear model under a noninformative prior
Gibbs sampler for a generic mixture posterior distribution
Normal dataset
Metropolis-Hastings for the probit model under a flat prior
Posterior expectation for the binomial capture-recapture model
Gibbs sampler and Chib's evidence approximation
for a generic univariate mixture of normal distributions
Metropolis-Hastings for the probit model under a noninformative prior
Metropolis-Hastings for the logit model under a noninformative prior
Metropolis-Hastings for the logit model under a flat prior
Log-likelihood of the logit model
Estimation of a hidden Markov model with 2 hidden and 4 observed states
Log of the posterior distribution for the probit model under a noninformative prior
Posterior probabilities for the multiple stage capture-recapture model
Posterior probabilities for the Darroch model
Bound for the accept-reject algorithm in Chapter 5
Metropolis-Hastings sampler for a Potts model with ncol classes
Recursive resolution of beta prior calibration
Approximation by path sampling of the normalising constant
for the Ising model
Random simulator for the truncated normal distribution
Metropolis-Hastings for the log-linear model under a flat prior
Coverage of the interval \((a,b)\) by the Beta cdf
Graphical representation of a normal mixture log-likelihood
Gibbs sampler for the Potts model
Log-likelihood of the probit model
Log of the posterior density for the probit model under a non-informative model
Number of neighbours with the same colour
Log of the likelihood of the log-linear model
Log of the posterior density for the log-linear model under a noninformative prior
Random generator for the Dirichlet distribution
Image reconstruction for the Potts model with six classes
Bayesian linear regression output