Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology.

@article{Ji2009SpatialMM,
  title={Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology.},
  author={C. Ji and Daniel Merl and Thomas B. Kepler and Mike West},
  journal={Bayesian analysis},
  year={2009},
  volume={4 2},
  pages={297-316}
}
We discuss Bayesian modelling and computational methods in analysis of indirectly observed spatial point processes. The context involves noisy measurements on an underlying point process that provide indirect and noisy data on locations of point outcomes. We are interested in problems in which the spatial intensity function may be highly heterogenous, and so is modelled via flexible nonparametric Bayesian mixture models. Analysis aims to estimate the underlying intensity function and the… CONTINUE READING

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