initSedki

0th

Percentile

Initialize the ABC algorithm using the method of Sedki et al. (2013)

Initialize the ABC algorithm using the method of Sedki et al. (2013)

Usage
initSedki(y, neighbors, blocks, param = list(npart = 10000),
  priors = NULL)
Arguments
y

A vector of observed pixel data.

neighbors

A matrix of all neighbours in the lattice, one row per pixel.

blocks

A list of pixel indices, dividing the lattice into independent blocks.

param

A list of options for the ABC-SMC algorithm.

priors

A list of priors for the parameters of the model.

Value

A matrix containing SMC samples for the parameters of the Potts model.

References

Sedki, M.; Pudlo, P.; Marin, J.-M.; Robert, C. P. & Cornuet, J.-M. (2013) "Efficient learning in ABC algorithms" arXiv:1210.1388

Aliases
  • initSedki
Documentation reproduced from package bayesImageS, version 0.6-0, License: GPL (>= 2) | file LICENSE

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